SDET ETL Testing

Brainworks Business Solutions; Pune District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Brainworks Business Solutions is seeking a hands-on SDET with expertise in ETL testing, Python, PySpark, Databricks, and advanced SQL to validate enterprise data pipelines and transformations.

The role emphasizes data validation and ETL testing using Azure Data Factory and Databricks. It is an individual contributor position requiring strong coding and testing skills, with responsibilities spanning test design, automation, and quality assurance in an Agile environment.

Qualifications

• Experience with ETL testing, SQL, and Python automation.
• Hands-on Databricks and PySpark experience.
• Familiarity with cloud data platforms.

Responsibilities

• Design and execute ETL and data pipeline test cases.
• Validate data transformations with Python, PySpark, and SQL.
• Test Azure Data Factory and Databricks pipelines.
• Develop automation scripts for ETL validation.
• Perform data quality checks and compare results.
• Integrate with Azure DevOps CI/CD 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.

Skills

ETL testing

SQL

Python automation

Databricks

PySpark

Cloud

Tools

Databricks

PySpark

Job description

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 strong 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.