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Python QA - (Pyspark with Databricks)
TestYantra Software Solutions · Bangalore, IN
About The Role
About the Role
We are looking for an experienced
QA Automation Engineer
with strong expertise in
Python, PySpark, and Databricks
to support enterprise data engineering and analytics initiatives. The ideal candidate should have hands-on experience in validating large-scale data pipelines, ETL processes, and data platforms while building robust automation frameworks to ensure data quality and reliability.
Key Responsibilities
Design, develop, and maintain automated test frameworks using
Python
- .
- Validate ETL pipelines, data transformations, and data ingestion processes built using
PySpark
and
Databricks
- .
- Perform data validation, reconciliation, and quality checks across structured and semi-structured datasets.
- Develop automated test scripts for functional, integration, regression, and end-to-end testing of data platforms.
- Validate large datasets using SQL and PySpark.
- Build and maintain automated data quality checks and monitoring processes.
- Collaborate with Data Engineers, Developers, and Business Analysts to understand data requirements and ensure high-quality deliveries.
- Analyse defects, perform root cause analysis, and support issue resolution.
- Integrate automated tests into CI/CD pipelines and support Agile delivery.
- Contribute to QA best practices, automation strategy, and continuous improvement initiatives.
Skills & Qualifications
- 8+ years
- of experience in Software Testing or Test Automation.
- Strong hands-on experience with
Python
- .
- Solid expertise in
PySpark
and
Databricks
- .
- Strong experience in
SQL
- and ETL/data validation.
- Experience testing large-scale data pipelines and data engineering workflows.
- Hands-on experience with
- data quality frameworks or libraries
- such as
- Great Expectations, Soda, Deequ, dbt Tests, or similar
- .
- Strong understanding of data validation, reconciliation, and quality assurance methodologies.
- Experience working in Agile/Scrum environments.
- Excellent analytical, troubleshooting, and problem-solving skills.
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