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Data QE engineer

Data QE engineer

Nisum

Pleasanton Full-day Full-time

Description:

Google Cloud Platform Expertise: Proficient in Google Cloud Platform, Dataflow, BigQuery, Cloud composer, and google Storage services. Databricks: Experience with Spark-based data engineering workflows, including Delta Lake. Testing Tools & Frameworks: Strong experience with tools like PyTest, dbt (data build tool), or similar testing frameworks for data pipelines. SQL and Scripting: Advanced SQL skills for data validation with Python proficiency for automation. Big data Knowledge: Knowledge

Mar 19, 2025; from: dice.com

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