Senior Quality Assurance Engineer

📢 Job Opportunity : Senior Quality Engineer - Data Pipelines (PySpark / Databricks)

Sourcebae is looking for a highly technical and hands-on Senior Quality Engineer (SDET) to specialize in Data Validation and Pipeline Testing . This is a heavy-weight testing role that requires strong coding fundamentals in the modern data engineering stack.

Note : - “Only candidates who can join immediately or are currently serving their notice period are eligible to apply.”

📧 Apply Now : Send your resume to aman_sariyam@sourcebae.com

🎯 Role & Requirements Snapshot

Job Title : Senior Quality Engineer (Data Pipeline SDET)

Experience : 7 – 11 Years (Targeting 5-7 years of relevant hands-on experience)

Location (Onsite) : Indore / Pune / Bengaluru / Chennai

Compensation : Highly Competitive

Availability : Immediate Joiners or those currently serving notice.

🔑 Technical Skills (Must-Have Coding Fundamentals)

We are looking for hands-on individual contributors who can code and deeply understand data engineering concepts.

Core Coding : Expert-level proficiency in PySpark / Python for writing and executing validation code. We cannot teach coding fundamentals.

Data Platform : Hands-on experience with Databricks environments.

Pipeline Tools : Experience with Azure Data Factory for pipeline setup and execution context.

DevOps : Familiarity with Azure DevOps for CI / CD integration and pipeline management.

Data Validation : Strong SQL knowledge for data integrity checks and complex query validation.

📝 Key Responsibilities : -

This role is focused on heavy-weight execution and validation—work similar to a data developer but with a quality focus.

Data Validation : Primarily responsible for testing and validating complex data transformations and data quality built by other Data Engineers.

Execution & Review : Focus on test execution, pipeline review, and ensuring high-quality data output.

SDET Processes : Implementing and maintaining automated validation scripts within the CI / CD pipeline.

Team Contribution : Act as an Individual Contributor with an aptitude for leadership / mentoring to potentially guide future scaling.

Collaboration : Working closely with Data Engineers and the development team to review system design and data architecture for effective test coverage.

Note : This role is focused purely on data validation and pipeline testing, not traditional web or API automation (Selenium, Rest Assured).

🚀 Why Join Sourcebae?

Be a critical part of a team focusing on data quality at the source, ensuring reliable data transformations for business insights. If you are a strong Python / PySpark coder with a passion for data quality, we want to hear from you!

To Apply : Send your updated resume to aman_sariyam@sourcebae.com with the subject line "Application : Senior QE - Data Pipeline."

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