Salary- $120K/yr - $150K/yr
Remote, Texas
Posted 1 week ago

Title: Azure Data Engineer

Location: Hybrid

  • Python, SQL
  • DBT Experience
  • Previous retail (Prev Albertsons would be great!)
  • Communication is key, speaking to stakeholders
  • Communication skills, explain implementation teams
  • Work with functionally split within retail analytics side
  • Person would be working on hub and spoke model- supply chain and merchandising
  • Two domains supply chains and store sites- lead engineers do review to other on team.

 

GENERAL PURPOSE:

The Data Engineer III plays a critical role in engineering of data solutions that support Ross reporting and analytic needs. As a key member of the Data engineering team, will work on diverse data technologies such as Steramsets, dbt, data ops and others to build insightful, scalable, and robust data pipelines that feed our various analytics platforms.

QUALIFICATIONS AND SPECIAL SKILLS REQUIRED:

  • 12 + years in-depth, data engineering experience and execution of data pipelines, data ops, scripting and SQL queries
  • 5+ years proven data architecture experience – must have demonstrable experience data architecture, accountable for data standards, designing data models for data warehousing and modern analytics use-cases (e.g., from operational data store to semantic models)
  • At least 3 years experience in modern data architecture that support advanced analytics including Snowflake, Azure, etc. Experience with Snowflake and other Cloud Data Warehousing / Data Lake preferred
  • Expert in engineering data pipelines using various data technologies – ETL/ELT, big data technologies (Hive, Spark) on large-scale data sets demonstrated through years of experience
  • 5+ years hands on data warehouse design, development, and data modeling best practices for modern data architectures
  • Highly proficient in at least one of these programming languages: Java, Python
  • Experience with modern data modelling tools, data preparation tools
  • Experience with adding data lineage, technical glossary from data pipelines to data catalog tools
  • Highly proficient in Data analysis – analyzing SQL, Python scripts, ETL/ELT transformation scripts
  • Highly skilled in data orchestration with experience in tools like Ctrl-M, Apache Airflow. Hands on DevOps/Data Ops experience required
  • Knowledge/working experience in reporting tools such as MicroStrategy, Power BI would be a plus
  • Self-driven individual with the ability to work independently or as part of a project team
  • Experience working in an Agile Environment preferred, Familiarity with Retail domain preferred
  • Experience with Streamsets, dbt preferred
  • Strong communication skills are required with the ability to give and receive information, explain complex information in simple terms and maintain a strong customer service approach to all users
  • Bachelor’s Degree in Computer Science, Information Systems, Engineering, Business Analytics, Business Management required

Job Features

Job Category

Data Analyst, Data Science

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