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Strong employer brand, mid-level generalist role, metro locations and broad ETL skillset increase applicant competition.
ETL, Snowflake and Java/Python data engineering skills are broadly transferable across industries.
Explicit 3–6+ years requirement plus mandatory ETL, Snowflake/Oracle and Java/Python skills tighten shortlisting.
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Design, develop, and maintain ETL pipelines and data ingestion frameworks integrating multiple sources into Snowflake and Oracle data warehouses.
Develop reusable components and automate data pipelines using Java and/or Python, optimizing performance for analytics and reporting needs.
Provide production support for data pipelines including troubleshooting, root cause analysis, and adherence to data governance and security standards.
3–6+ years in ETL/Data Engineering roles.
Strong programming skills in Java and/or Python.
Experience with ETL pipelines and data ingestion using REST APIs, and working knowledge of Snowflake and/or Oracle databases.
Bachelor’s degree in Computer Science, Information Systems, or related field.
Experienced ETL/Data Engineer with a strong focus on building scalable, performant data pipelines in enterprise environments.
Practitioner of modern data engineering practices including pipeline automation, CI/CD, and production support.
Able to work collaboratively with cross-functional teams including architects, product managers, and end-users, focusing on solving complex business data challenges.