SDET – ETL Testing (Python, PySpark & Databricks)

Experience: 8–12 Years

Location: Indore / Pune / Bangalore

Shift: 12:00 PM – 9:00 PM IST (US EST Overlap)

Work Mode: 5 Days WFO

Job Summary

We are looking for a hands-on SDET with expertise in ETL Testing, Python, PySpark, Databricks, and Advanced SQL to validate enterprise data pipelines and transformations. The role focuses on data validation, ETL testing, and pipeline quality assurance using Azure Data Factory and Databricks. This is an individual contributor role requiring robust coding and testing skills.

Mandatory Skills (One Line)

ETL testing, SQL, Python Automation, Databricks, Pyspark, Cloud

Key Roles & Responsibilities

Design and execute ETL and data pipeline test cases.





Validate data transformations using Python, PySpark, and SQL.

Perform testing on Azure Data Factory and Databricks pipelines.

Develop automation scripts for ETL validation.

Execute data quality checks and compare expected vs. actual results.

Work with Azure DevOps CI/CD pipelines for test execution.

Log, track, and resolve defects with development teams.

Collaborate with data engineers to ensure high-quality data delivery.

Support Agile development and continuous testing practices.

Pay: ₹1,500,000.00 - ₹3,500,000.00 per year

Work Location: On the road

📌 SDET – ETL Testing (Python, PySpark, SQL & Databricks) (Raigad)
🏢 Brainworks Solutions
📍 Raigad