Automation Testing Engineer
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Job Description
As an Automation Testing Engineer, you will design, implement, and execute automated test solutions for modern data platforms. You'll work with Databricks, PySpark, Delta Lake, and CI/CD pipelines to validate data pipelines, transformations, and BI reporting solutions, ensuring accuracy and reliability across distributed systems.
Key Responsibilities:
- Build scalable automated test frameworks for data ingestion, transformation, and consumption layers.
- Validate data transformations within Delta Lake tables and monitor production pipelines.
- Collaborate with Data Engineers, Architects, QA, and Business Analysts to define test cases.
- Document test strategies, cases, results, and maintain compliance traceability.
- Participate in defect triage, root cause analysis, and resolution of data quality issues.
Here is what you need:
- Strong experience with Python, SQL, and Databricks.
- Bachelor's degree + 1 year relevant experience OR 3 years relevant experience.
Bonus Points if you have:
- Experience with automated test frameworks and data quality validation.
- Knowledge of ETL/ELT processes and Data Lakehouse transformations.
- Familiarity with BI tools (QuickSight, Tableau, Power BI).
Eligibility Requirements:
- US Citizenship Only
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