Quality Assurance Engineer

Sourcebae; Bengaluru; On-site; INR 3,616,636 - 5,424,954; Full time

Job summary

A technology firm in India is hiring a Python Automation QA Engineer with strong expertise in ETL/Data Pipeline Testing and Power BI validation. The role involves designing automation frameworks, validating data pipelines, and ensuring high data accuracy in ETL workflows. Ideal candidates will have strong Python scripting skills, experience in ETL testing, SQL knowledge, and familiarity with CI/CD tools. This full-time role offers opportunities to work with data engineers and BI teams.

Qualifications

• Hands-on experience in ETL/Data Pipeline Testing.
• Excellent analytical, debugging, and communication skills.
• Basic knowledge of API/Data integration testing.

Responsibilities

• Develop Python-based automation frameworks for ETL/Data Pipeline testing.
• Write and execute ETL test cases for source-to-target validation.
• Identify, log, and resolve defects through effective coordination.

Skills

Python scripting

ETL/Data Pipeline Testing

SQL

Power BI testing

CI/CD tools (Jenkins, Git)

Analytical skills

Tools

PyTest

Unittest

Azure Data Factory

Snowflake

Job description

We are hiring an experienced Python Automation QA Engineer with strong expertise in ETL/Data Pipeline Testing and exposure to Power BI validation.

If you are a hands‑on Python expert who loves ensuring data accuracy end‑to‑end — this role is for you!

About the Role

As a Python QA Engineer (Data SDET), you will design automation frameworks, validate data pipelines, and ensure complete accuracy in ETL workflows and Power BI reports. You’ll collaborate closely with Data Engineers and BI teams to test transformations, verify data quality, and streamline automation processes.

Responsibilities

• Develop Python‑based automation frameworks for ETL/Data Pipeline testing
• Write and execute ETL test cases for source‑to‑target validation
• Perform data reconciliation, transformation checks & data integrity validation
• Collaborate with Data Engineers & BI Developers for end‑to‑end quality
• Build reusable test scripts and improve automation coverage
• Identify, log, and resolve defects through effective coordination
• Ensure high‑quality documentation and clear communication

Qualifications

• Strong proficiency in Python scripting (automation/testing focus)
• Hands‑on experience in ETL/Data Pipeline Testing
• Solid knowledge of SQL for complex data validation
• Understanding of data warehouse concepts & data pipelines
• Experience with PyTest/Unittest or similar automation frameworks
• Exposure to Power BI testing (datasets, DAX, dashboards)
• Excellent analytical, debugging, and communication skills
• Experience with CI/CD tools (Jenkins, Git)
• Exposure to cloud platforms like Azure Data Factory or Snowflake
• Basic knowledge of API/Data integration testing

Send your resume to: LinkedIn: https://www.linkedin.com/in/aman-sariyam-a91b70222/

Seniority level

Associate

Employment type

Full‑time

Job function

Information Technology

Industries

Technology, Information and Media