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Metro mid-level data role with common Snowflake/AWS skills and a 5+ years expectation increases competition.
Cloud and Snowflake emphasis moderately limits cross-industry portability of this data engineering role.
Mandatory 5+ years and specific Snowflake, AWS, ETL and Python skills.
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Translate business needs into data models supporting long-term solutions.
Perform reverse engineering of physical data models from databases and SQL scripts.
Analyze data integration challenges and assist in setting data architecture direction including data movement and technology strategy.
5+ years of experience as a Data Engineer.
Strong expertise in advanced SQL querying including joins, subqueries, CTEs, and aggregation.
Experience with Snowflake, ETL processes, SQL, CI/CD, and data modeling concepts including star and snowflake schemas.
Bachelor’s degree in Computer Science, Software Engineering, MIS, or equivalent.
Experienced in designing data architectures with a focus on data movement and integration solutions.
Technically proficient with strong SQL and Python skills, plus working knowledge of AWS services like S3, Athena, Glue, and EMR/Spark with emphasis on S3 and Glue.
Able to reverse engineer physical data models to support scalable and maintainable data solutions.