Our client is seeking a Data Test Automation Engineer (5–7 years) responsible for defining and enhancing automated testing strategy and frameworks for data ingestion, analytics warehouses, and master data management platforms. (Remote, USA)
Must Have skills (Skills Needed)
- Databricks (Data Engineering)
- Azure Data Factory
- Azure (Data Analytics)
- SQL
- Testing methodology
- PySpark
- Azure DevOps
- Relational Database
- Azure Test plans
- Experince with building Hybrid/Data/Test driven Test Automation frameworks
Responsibilities
- Establish and maintain an automation test strategy for data ingestion pipelines, analytical warehouse validation, and master data management.
- Enhance the existing test automation framework using PySpark/Python, including regression suites and reusable utilities for generic test functions/methods.
- Monitor test automation metrics and continuously refine/improve the automation framework for quality, stability, and coverage.
- Identify framework gaps/shortcomings and implement improvements to address scalability, maintainability, and robustness.
Other information
- Primary platforms/tools: Databricks, Azure Data Factory, Azure Data Analytics services, SQL, PySpark, Azure DevOps, Azure Test Plans, relational databases.
- Experience: 5–7 years (overall).
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