Senior Quality Assurance Engineer
14 hours ago
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.
Apply Now:
Send your resume to
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
with the subject line "Application: Senior QE - Data Pipeline."
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