What are the responsibilities and job description for the Data QE engineer position at Nisum?
Job Details
- 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 of Big Data processing and distributed computing. Understand the importance data modeling concepts
- CI/CD: Knowledge of CI/CD pipelines on or GitHub Actions, focusing on data engineering workflows.
- Data Governance: Familiarity with data governance tools and concepts such as metadata management, lineage, and data cataloging.
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