S&S Activewear

Senior Data Engineer - Tech Lead (Remote or Hybrid Available)

S&S Activewear

full-time

Posted on:

Origin:  • 🇺🇸 United States • Illinois

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Job Level

Senior

Tech Stack

AirflowAWSETLMatillionPythonSQL

About the role

  • Influence the technical roadmap and architecture to enable S&S to use data more effectively
  • Help select tools, technologies, and operational practices that allow the company to manage its data at scale
  • Develop ETL/ELT pipelines to bring together data from a variety of sources into the company’s data warehouse
  • Manage existing ETL/ELT pipelines, including monitoring, troubleshooting, and optimizing their performance
  • Partner with business teams to understand their data needs and prioritize new development work
  • Design and prototype solutions in Snowflake and AWS that help business teams answer complex questions
  • Provide input on data management best practices to ensure the company’s data ecosystem is robust
  • Collaborate with technical and non-technical counterparts to understand and prioritize projects
  • Participate in design reviews and code reviews with other engineers

Requirements

  • 7+ years of hands-on experience designing and managing a data warehouse, building ETL/ELT pipelines, and implementing DataOps processes
  • Expertise in Snowflake; SnowPro certification preferred
  • Experience using AWS infrastructure to process and move large volumes of data
  • Strong SQL and Python skills
  • Ability to write production-quality code; knowledge of Git development workflows
  • Familiarity with platforms such as Matillion, FiveTran, or Airflow and associated design patterns for large-scale ETL/ELT systems
  • Demonstrated ability to use APIs to extract data from vendor applications in a production setting
  • Commitment to good engineering practices, including mentoring junior engineers