At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It's yours to build. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. US Consulting - AI & Data - Data Architect, Industrials & Energy Sector - Senior The opportunity EY is seeking a Data Architect with strong technology and data understanding having proven delivery capability. Lead the design, development, and management of the organization's data architecture, ensuring scalable, efficient, and secure data solutions that align with business goals and support enterprise-wide data initiatives. In this role, you will create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities

• Design, develop, optimize, and maintain data architecture and pipelines that adheres to ETL principles and business goals
• Develop and maintain scalable data pipelines, build out new integrations using AWS native technologies to support continuing increases in data source, volume, and complexity
• Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment
• Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyse, validate, normalize, and clean data
• Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues
• Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes
• Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity
• Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
• Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
• Solve complex data problems to deliver insights that help achieve business objectives
• Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics
• Strong understanding & familiarity with all Hadoop Ecosystem components and Hadoop Administrative Fundamentals
• Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms

Skills And Attributes For Success

• Experience in the development of Hadoop APIs and MapReduce jobs for large scale data processing
• Hands-on programming experience in Apache Spark using SparkSQL and Spark Streaming or Apache Storm
• Hands on experience with major components like Hive, Spark, and MapReduce
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Experienced in Hadoop clustering and Auto scaling
• Good knowledge in apache Kafka & Apache Flume
• Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
• Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies
• Strong business acumen with knowledge of the Industrial Products sector is preferred, but not required
• Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata
• Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data
• Experience with or knowledge of Agile Software Development methodologies.
• Demonstrated understanding and experience using:
• Data Engineering Programming Languages (i.e., Python)
• Distributed Data Technologies (e.g., Pyspark)
• Cloud platform deployment and tools (e.g., Kubernetes)
• Relational SQL databases
• DevOps and continuous integration
• AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS)
• Databricks/ETL
• IICS/DMS
• GitHub
• Event Bridge, Tidal

To qualify for the role you must have

• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution
• Excellent communicator (written and verbal formal and informal)
• Ability to multi-task under pressure and work independently with minimal supervision.
• Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives
• Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling
• Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value
• Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity
• Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions

Ideally, you'll also have

• Experience in leading and influencing teams, with a focus on mentorship and professional development
• A passion for innovation and the strategic application of emerging technologies to solve real-world challenges
• The ability to foster an inclusive environment that values diverse perspectives and empowers team members

What We Offer We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $105,800 to $174,800. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $127,100 to $198,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

• Continuous learning: You'll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.

EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. For those living in California, please click here for additional information. EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com

Title: Cloud Architect Location: Hybrid

Resource Proposal for Cloud Security Engineer – Integration Modernization Initiative Project Name: Integration Modernization Key Technologies Involved: TIBCO, APIGEE, Kafka, and other integration tools (TBD) Initiative Timeframe: Short-term (3-6 months): Focus on TIBCO, APIGEE, Kafka - Long-term (6-12 months): Additional integration tools (TBD)

Scope of Work The Cloud Security Engineer will work closely with the Integration Modernization team to design, implement, and monitor security measures across various integration tools. They will ensure the integrity, confidentiality, and availability of data as it flows between systems. The security engineer will also assist in defining policies and best practices for integrating TIBCO, APIGEE, Kafka, and any future tools. This role will involve both strategic planning and tactical implementation. Key responsibilities include:

1. Security Assessment and Risk Management:
   • Conduct security risk assessments for integration tools (TIBCO, APIGEE, Kafka, etc.)
   • Identify and mitigate potential vulnerabilities in cloud-based architectures.
   • Ensure proper encryption and key management protocols are in place.

1. Architecture and Design:
   • Collaborate with solution architects to design secure integration architectures, ensuring proper authentication, authorization, and data protection across the platforms.
   • Work with cross-functional teams to integrate security into DevOps pipelines, CI/CD workflows, and API lifecycle management.

1. Tool and Platform Security:
   • Ensure security configurations of TIBCO, APIGEE, Kafka, and other integration tools are aligned with industry standards and organizational policies.
   • Manage security integrations with Ulta's identity management systems.

1. Monitoring and Incident Response:
   • Set up continuous monitoring for security events and anomalies across the integration platforms.
   • Respond to security incidents and provide remediation guidance in the event of breaches or vulnerabilities.

1. Documentation and Knowledge Transfer:
   • Maintain up-to-date security documentation for each platform transferring monitoring and incident response to the Security Operations Center.
   • Conduct knowledge transfer sessions for the wider IT and security teams to ensure ongoing security practices are followed.

Resource Justification Given the breadth of tools involved, including TIBCO, APIGEE, and Kafka, a dedicated Cloud Security Engineer is required to ensure that security considerations are fully embedded into every phase of the integration process. Their expertise will not only safeguard the organization's assets but will also promote efficiency by proactively addressing potential security gaps before they evolve into major issues.

Skills and Experience Required The ideal candidate will have a combination of the following skills and experience: Technical Skills:

• Cloud Security Expertise: Experience securing cloud-based architectures, including AWS, Azure, or Google Cloud.
• Integration Platforms: Deep knowledge of integration tools such as TIBCO, APIGEE, and Kafka with a focus on security.
• API Security: Expertise in securing APIs using industry-standard protocols (OAuth 2.0, OpenID Connect, JWT, etc.).
• Network Security: Knowledge of securing microservices, messaging systems, and network communication in hybrid and multi-cloud environments.
• Identity and Access Management (IAM): Experience implementing IAM solutions for integration platforms, including SSO, RBAC, and MFA.

Job Title: Junior Data Engineer

Location: Alpharetta, GA or Oakland, CA, or Rancho Cordova, CA (Hybrid)

Contract

Job Description

• 4 Page Resumes MAX
• If education is required - make sure it’s on the resume
• All interviews are Zoom with camera on 

Interview Details

• 2 Zoom Interviews WITH Camera ON

Must Have:

• LinkedIn with a picture
• At least 1-2 years of Matillion ETL experience with Snowflake as a Target
• 2-4 years’ experience w/Bachelor’s degree

The Data Engineer will collaborate with data architects, application development teams, data analytics teams, and the Data Governance COE to build and test interfaces between applications, data warehouses, and third-party systems in a combination of cloud and on-premise platforms.

Using ETL tools, data virtualization tools, and API engines, the Data Engineer translates business requirements at the direction of Senior Data Engineers into data interfaces, data APIs, and data pipelines to supply the data needs of the enterprise, supporting application to application integration, the data flow in and out of the data management platform and other databases, and the data access layer supplying data to end consumers, including applications and tools.

 

SKILLS:

• At least 1-2 years of Matillion ETL experience with Snowflake as a Target
• Strong SQL with Stored Procedures
• 1-2 years of Cloud Data platform Snowflake experience
• ETL migration project experience is a plus
• Health care Insurance domain knowledge is a plus
• Experience in developing the ETL for data integration, Transformation, including populating Dimensional Data Models.
• Experience in SQL (No-SQL experience is a plus) and T-SQL
• Experience in data virtualization, Tibco Data Virtualization preferred.

Minimum Education and Experience

• 2-4 years’ experience w/Bachelor’s degree

EDUCATION: 

• Bachelor's degree in Computer Science, Mathematics, Statistics, or other related technical field.

What you can expect Zoom's Cyber Threat Intelligence team is seeking a remote Senior Analyst. This person will monitor the evolving threat landscape and deliver operational assessments that provide real-time awareness of global cyber threats to Zoom. The ideal candidate has a good understanding of intelligence tradecraft. They also bring solid technical skills in threat research, analysis, and reporting to help peer teams and leadership understand Zoom's cyber threat environment. A successful candidate is impact-driven, communicates effectively, and builds solid relationships with stakeholders and peer teams.   About the Team The Threat Intelligence team plays a critical role in identifying, analyzing, and responding to a broad range of security threats across the organization. The team focuses on both physical and cyber domains, including risk analysis, insider threats, malware, and emerging threat actors. Their work helps safeguard our people, assets, and technology from evolving global risks.   Responsibilities

• Providing real-time awareness, early warning, and operational readiness to defend Zoom against global cyber threats
• Developing and maintaining adversary profiles and mapping threat activity using frameworks such as MITRE ATT&CK, Cyber Kill Chain, and Diamond Model
• Performing technical threat intelligence analysis to collect, enrich, and evaluate threat information to identify malicious activity and support detection and response efforts
• Researching, writing, and disseminating intelligence products using structured analytic techniques tailored to both technical and non-technical stakeholders
• Delivering briefings, presentations, and written reports to senior and executive leadership to inform strategic decision-making and drive security recommendations
• Identifying collection gaps and employing intelligence-gathering methods across open and closed sources
• Working closely with peer security teams to provide contextual threat intelligence, triage potential incidents, and assess the impact of threats to Zoom. Building and maintaining intelligence-sharing partnerships with internal and external stakeholders.
• Collaborating with cross-functional security teams to provide timely, actionable threat intelligence that enhances Zoom's defensive posture and drives leadership decision-making

  What we’re looking for

• Have extensive experience in cyber threat intelligence, threat hunting, or related cybersecurity discipline within an operational and tactical setting.
• Have a good technical understanding of attacker tradecraft, common attack vectors, and tactics, techniques, and procedures attackers use to propagate across systems and networks
• Have proven experience in research, writing, and publishing analytic reports for both technical and non-technical audiences
• Possess good knowledge and hands-on experience with threat intelligence frameworks. This includes tools used to identify and track adversary behavior and tradecraft, such as MITRE ATT&CK, the Cyber Kill Chain, and the Diamond Model.
• Have hand-on experience using threat intelligence platforms and SIEMs
• Have experience participating in incident response, threat investigations, and escalating detection recommendations to enhance security posture
• Able to demonstrate the ability to work cross-functionally with security, engineering, and product teams
• Have knowledge of intelligence collection methodologies and management

Salary Range or On Target Earnings:   In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.   Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.   We also have a location based compensation structure; there may be a different range for candidates in this and other locations At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!   Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.   Benefits As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.   About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It's yours to build. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. US Consulting - AI & Data - Data Architect, Industrials & Energy Sector - Senior The opportunity EY is seeking a Data Architect with strong technology and data understanding having proven delivery capability. Lead the design, development, and management of the organization's data architecture, ensuring scalable, efficient, and secure data solutions that align with business goals and support enterprise-wide data initiatives. In this role, you will create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities  

• Design, develop, optimize, and maintain data architecture and pipelines that adheres to ETL principles and business goals
• Develop and maintain scalable data pipelines, build out new integrations using AWS native technologies to support continuing increases in data source, volume, and complexity
• Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment
• Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyse, validate, normalize, and clean data
• Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues
• Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes
• Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity
• Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
• Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
• Solve complex data problems to deliver insights that help achieve business objectives
• Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics
• Strong understanding & familiarity with all Hadoop Ecosystem components and Hadoop Administrative Fundamentals
• Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms

Skills And Attributes For Success  

• Experience in the development of Hadoop APIs and MapReduce jobs for large scale data processing
• Hands-on programming experience in Apache Spark using SparkSQL and Spark Streaming or Apache Storm
• Hands on experience with major components like Hive, Spark, and MapReduce
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Experienced in Hadoop clustering and Auto scaling
• Good knowledge in apache Kafka & Apache Flume
• Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
• Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies
• Strong business acumen with knowledge of the Industrial Products sector is preferred, but not required
• Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata
• Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data
• Experience with or knowledge of Agile Software Development methodologies.
• Demonstrated understanding and experience using:
• Data Engineering Programming Languages (i.e., Python)
• Distributed Data Technologies (e.g., Pyspark)
• Cloud platform deployment and tools (e.g., Kubernetes)
• Relational SQL databases
• DevOps and continuous integration
• AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS)
• Databricks/ETL
• IICS/DMS
• GitHub
• Event Bridge, Tidal

To qualify for the role you must have  

• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution
• Excellent communicator (written and verbal formal and informal)
• Ability to multi-task under pressure and work independently with minimal supervision.
• Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives
• Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling
• Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value
• Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity
• Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions

Ideally, you'll also have  

• Experience in leading and influencing teams, with a focus on mentorship and professional development
• A passion for innovation and the strategic application of emerging technologies to solve real-world challenges
• The ability to foster an inclusive environment that values diverse perspectives and empowers team members

What We Offer We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $105,800 to $174,800. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $127,100 to $198,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

• Continuous learning: You'll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.

EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. For those living in California, please click here for additional information. EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com

Open to current or former Federal, Intelligence Analysts (0132) within the Intelligence Community. This announcement is NOT applicable to current or former FBI Intelligence Analysts or Supervisory Intelligence Analysts. Applications will not be accepted from outside this area of consideration. The FBI is an Intelligence Community (IC) agency like no other. As an FBI Intelligence Analyst (IA), you will lead analysis of criminal and national security threats to the U.S. that helps the FBI, policymakers, and partners identify threats and opportunities and inform decision-making. You will apply analytic tradecraft to analyze information derived from our unique blend of law enforcement and intelligence authorities. You will work with special agents, other FBI and IC colleagues, and partners to identify threat priorities, collection strategies, and disruption opportunities. FBI is looking for applicants who exhibit the identified critical skills listed under the Selective Placement Factor section of this job posting working at one of the 18 agencies designated by the ODNI. https://www.intelligence.gov/how-the-ic-works#our-organizations Required Documents Failure to provide necessary and relevant information required by this job posting may disqualify you from consideration. 1. Resume (relevant/specialized work experience with start and end dates) 2. Official/Unofficial Transcript 3. SF-50 showing current employment as a 0132 at a designated IC agency Additional information will not be requested if your application is incomplete. Your application will be evaluated solely based on information you have submitted. Major Duties As an IA, you will:

• Review FBI communications to identify and evaluate the intelligence information therein.
• Prepare and disseminate intelligence information while protecting sources and investigations through correct document classification and controls.
• Communicate with FBI field offices, legal Attaches (Legats), analysts, and members of the Intelligence Community (IC), policy, and law enforcement communities to gain a better

understanding of sources, operations, missions, and requirements.

• Assist in the preparation of collection instructions, guides, and manuals for FBI entities and interact with outside entities to facilitate their initiatives.
• Analysis to include collation of raw, primary, and secondary data derived from various sources such as automated data base systems, operational intelligence reports, miscellaneous

communications, case files, internal and external automation systems, and other sources.

• Prepares parts of more complex studies or reports that include aspects related to their specifically-defined geographic or functional area.
• May participate in interagency committees and meetings as representatives of the organization or functional area.
• Evaluates incoming reports and information and performs interpretations and projections under the guidance of senior analysts.
• Prepares basic descriptive and current reportorial intelligence reports to higher-level analysts and superiors in their assigned area of responsibility.
• Ensures compliance with laws, regulations, executive orders, and directives promulgated by the Congress, Attorney General, the Director of the FBI, and the Office of Director of National

Intelligence (ODNI) to achieve goals and objectives. Specialized Experience (SE) GS 11: Applicants must have at least one (1) year of experience at the GS11 grade level. SE is as follows:

• Conduct analytical reviews of data to identify patterns.
• Analyze information and make decisions regarding its value and worth to a case.
• Provide briefings, intelligence reports, and/or recommendations to management or higher-level staff.

GS 12: Applicants must have at least one (1) year of experience at the GS12 grade level. SE is as follows:

• Guide investigative, programmatic, and policy decisions by the intelligence, policy, and law enforcement communities.
• Manage the collection and dissemination of intelligence information from investigations, sources and contacts to the intelligence, policy, and law enforcement communities.
• Perform liaison duties with other US and foreign government agencies on a wide variety of topics.

GS 13: Applicants must have at least one (1) year of experience at the GS13 grade level. SE is as follows:

• Interpretation of investigative information and extrapolating data for the collection, analysis, evaluation, and dissemination to the appropriate officials of the IC, law enforcement agencies,

and other government entities.

• Review information/data, determine the significance, and validate its accuracy and reliability.
• Use of various analytical techniques and devises immediate and projected estimations for those characteristics of each situation that may affect capabilities and/or specific events.

GS 14: Applicants must have at least one (1) year of experience at the GS14 grade level. SE is as follows:

• Expertly handle complex issues, providing guidance to investigative, programmatic, policy decisions by the intelligence, policy, and law enforcement communities.
• Expertly able to review information/data, determine the significance, validate its accuracy and reliability
• Using various analytical techniques, devises immediate and projected estimations for those characteristics of each situation that may affect capabilities and/or specific events

Initiate dialogue with counterparts in the analytical and intelligence community to anticipate emerging intelligence issues Selective Placement Factors

Since 2010, Synergisticit has helped job seekers get employed in the tech job market by providing candidates with the requisite skills, experience, and technical competence to outperform at interviews and with clients. Here at SynergisticIT, we just don't focus on getting you a tech job; we make careers. In this Job market also, our candidates can achieve multiple job offers and $100k + salaries. please check the below links to see the success outcomes and salaries of our candidates. https://www.synergisticit.com/candidate-outcomes/ https://reg.rf.oracle.com/flow/oracle/cwoh23/OCWExhibitorCatalog/page/OCWexhibitorcatalog We regularly interact with the Top Tech companies to give our candidates a competitive advantage visit the below videos exhibiting at Oracle Cloud World/Oracle Java One (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023 All Positions are open for all visas and US citizens We at Synergistic understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like Apple, google, Paypal, Western Union, Client, visa, Walmart labs etc to name a few. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients. Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and are looking to make their careers in the Tech Industry. We assist in filing for STEM extension and also for H1b and Green card filing to Candidates We want Data Science/Machine learning/Data Analyst and Java Full stack candidates For data Science/Machine learning Positions Required Skills Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Project work on the technologies needed Highly motivated, self-learner, and technically inquisitive Experience in programming language Java and understanding of the software development life cycle Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools Excellent written and verbal communication skills Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow REQUIRED SKILLS For Java/Full Stack/Software Positions Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Highly motivated, self-learner, and technically inquisitive Experience in programming language Java and understanding of the software development life cycle Project work on the skills Knowledge of Core Java, Javascript, C++, or software programming Spring boot, Microservices, Docker, Jenkins, Github, Kubernetes, and REST API experience Excellent written and verbal communication skills If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team and only connect with candidates who match client requirements. No phone calls, please. Shortlisted candidates would be reached out. No third-party or agency candidates or C2C candidates

Title: Senior Data Analyst Location: Hybrid

About the Role:

We are seeking a highly motivated and experienced Senior Data/Business Analyst to join our team. In this role, you will play a crucial part in driving data-driven decision-making within our sales organization. You will be a key partner to the channel lead, providing analytical support and insights that inform sales strategies and optimize our go-to-market approach. The ideal candidate possesses a strong analytical mindset, excellent communication skills, and a passion for leveraging data to drive business growth within the retail and hard goods sector.

 

Responsibilities:

• Sales Channel Support: Conduct in-depth analyses and investigations to understand sales trends, identify opportunities, and address challenges. This includes drill-down analysis, ad-hoc reporting, and proactive exploration of data to uncover actionable insights.
• Data Integration & Leverage:  Identify opportunities to integrate and leverage data more effectively across the organization. Develop strategies to enhance data quality and generate deeper insights into the drivers of sales performance.
• Collaboration with Data Science/Engineering: Work closely with data science and engineering teams to communicate sales reporting needs, provide guidance on tooling requirements, and ensure alignment between data capabilities and business objectives.
• Rhythm of Business Reporting:  Develop and maintain continuous reporting processes that provide a clear and comprehensive view of business performance.  Focus on agility and identify how business operations impact sales outcomes. Create impactful data visualizations to effectively communicate key metrics and trends to stakeholders.
• Insights to Action:  Conduct ad hoc analyses to address specific business questions and challenges. Apply critical thinking and sales analytics expertise to develop data-driven recommendations for senior sales leaders. Propose adjustments to sales models to optimize operational plans and identify areas for efficiency improvement.

Qualifications:

• Strong analytical and problem-solving skills with a proven ability to translate data into actionable insights.
• Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI).
• Excellent communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams.   
• Experience working with large datasets and cloud-based data platforms.

Preferred Qualifications in any of this:

• • Direct to Consumer
  • Business-to-Business
  • Commercial Sales

• Familiarity with statistical modeling techniques.
• Experience with data storytelling and presentation skills.

Overview

As a Penetration Tester you will perform formal and comprehensive penetration testing assessments, including producing full written reports to appropriate standards and within agreed deadlines. In addition, you will support with client pre-engagement activities, including scoping and proposal drafting, as well as researching application and infrastructure vulnerabilities, following responsible disclosure, and sharing such findings within the team.  

Responsibilities

• Perform formal and comprehensive application, infrastructure and other penetration testing assessments where appropriate and required
• Provide well-written, concise, technical and non-technical reports in English
• Perform vulnerability assessments and provide findings with remediation actions
• Support with various client pre-engagement interactions, including scoping activities and proposal drafting to ensure that client needs are met
• Manage and deliver penetration testing project activities within strict deadlines
• Support the QA process to ensure high quality client reports are delivered in accordance with applicable Service Level Agreement (SLA)
• Any other appropriate job duties in line with the associated skill and experience of the post holder

 

Skills and experience required

• Proven industry experience in application and infrastructure penetration testing
• Deep knowledge of assessing both Windows and Linux environments, including strong knowledge of Active Directory and wireless technologies
• Ability in preparing and launching social engineering campaigns (both phishing and vishing)
• Strong understanding of OWASP, PTES and other penetration testing methodologies
• Knowledge of how modern web apps are designed, developed and deployed across different platforms
• Ability to program or script in your preferred language
• Relevant degree in Computer Science, Ethical Hacking, Engineering or other relevant subject
• Relevant security qualifications (such as OSCP, CEH, GPEN)
• Good knowledge and understanding of network and OS principles
• Good knowledge of various operating systems
• Good knowledge of virtualization

 

Nice to have

• Knowledge of assessing cloud and hybrid environments (AWS and Azure)
• Knowledge of assessing mobile applications (iOS/Android)
• Knowledge of assessing hardware and embedded IoT devices

 

Personal Attributes

• Excellent spoken and written communication skills with strong attention-to-detail and accuracy
• A passion for security and networks
• Analytical and problem-solving skills with a can-do attitude and the ability to think laterally
• Self-motivation with a commitment to continued development
• Ability to work independently and as part of a team
• Influencing and negotiation skills with the ability to build relationships at all levels
• Willingness to learn

 

Benefits

• 25 days annual holiday plus 8 paid public holidays
• An additional day’s annual holiday for your birthday
• Pension/401k contribution
• Subsidized gym membership
• Frequent team events
• Private Healthcare (individual cover only)
• Learning Allowance Benefit
• Flexible working policy

 

Company Overview

Target Defense Inc is the US arm of Bulletproof Cyber Ltd and is a trusted provider of innovative cyber security solutions. From CREST-certified penetration testing to professional consultancy services, the Target Defense team help protect businesses of all sizes against the evolving threat landscape. Our cyber security services are the best way to stay one step ahead of the hackers, take control of your infrastructure and protect business-critical data. Please note that as part of the recruitment process a criminal records check will be carried out by an authorised third party.

Flatfile is revolutionizing enterprise data handling through AI automation. We're building an AI-native data mapping, cleaning, and transformation platform that tackles the most stubborn data problems for the world's largest organizations.

Overview:

A Data Ethicist focuses on ensuring that data-driven systems, especially those involving machine learning and AI, are designed, implemented, and maintained in ways that are ethical, fair, and transparent. This role sits at the intersection of data science, philosophy, policy, and law.

Key Responsibilities:

• Analyze datasets and algorithms for bias, fairness, and representativeness.

• Design ethical frameworks for AI and data usage.

• Work with data scientists, engineers, and product teams to implement responsible AI practices.

• Develop tools and metrics to audit models for ethical risk (e.g., fairness, privacy, transparency).

• Collaborate with legal and compliance teams to ensure adherence to regulations like GDPR, CCPA, or AI-specific laws.

• Educate stakeholders on data ethics principles.

Required Skills:

• Strong foundation in data science and machine learning.

• Understanding of ethical theory, philosophy, or AI ethics.

• Experience with explainable AI (XAI) tools and fairness libraries (e.g., IBM AIF360, SHAP, LIME).

• Ability to communicate complex ideas to non-technical stakeholders.

• Familiarity with privacy-enhancing technologies (e.g., differential privacy, federated learning).

Job Description:

• The client CSRM needs a Security Architect to help the team resolve possible security threats and identify areas of weakness in a client network system.
• Security Architects must respond promptly and effectively to possible breaches of security.
• As a senior member of the IT team, a Security Architect will also help cultivate a culture of security awareness, continue the education of personnel, and ensure security policies are adhered to at all times.
• The Security Architect will help the team plan, research, and design security architecture for client systems.
• Develop, review, and approve installation requirements for LANs, WANs, VPNs, firewalls, routers, and related network devices.
• Determine security protocols by evaluating business strategies and requirements.
• Respond to, and investigate security incidents and provide thorough post-event analyses.