LTIMindtree
Website:
ltimindtree.com
Job details:
Hi All,
We are looking for Python Data Test Automation Candidates, Below is the JD:
About the Role
Experience in Python language.
Domain: Insurance
Years of Experience- 5 to 12years.
Location: PAN India.
Responsibilities:
- Test PySpark based data pipelines ensuring data correctness, completeness, transformation accuracy, and performance.
- Perform end-to-end testing of data ingestion, processing, and output across batch and streaming jobs.
- Design and execute manual and automated test cases based on requirements and data flows.
- Apply strong testing fundamentals, test case design, test execution, defect identification, documentation, and closure.
- Build and maintain test automation to validate data pipelines, APIs, and system integrations.
- Integrate quality checks into DevSecOps CICD pipelines enabling automated validations and early feedback.
- Promote reusability of test assets, utilities, frameworks, and data validation components.
- Collaborate with developers, data engineers, and platform teams to address quality risks early (Shift-Left).
- Analyze test results and clearly document outcomes, options, problems, risks, and status for stakeholders.
- Apply a Quality Engineering mindset focused on defect prevention, risk-based testing, and continuous improvement.
Primary Skills Mandatory:
- PySpark data pipeline testing.
- Test automation, data API, or backend-focused.
- Strong testing fundamentals and practices.
- DevSecOps practices and tools.
- CICD integration for testing.
- Quality Engineering mindset with focus on reusability, scalability, and prevention.
Secondary Skills Good to Have:
- HQL, SQL for data validation and analysis.
- Strong problem-solving and analytical skills.
- Data analysis and data quality validation.
- Experience with big data tools ecosystems.
- Ability to work independently and self-sufficiently.
Interested Candidates share cv at chandrani.gupta@ltm.com/ chandrani.gupta@ltimindtree.com
please mention Python Data Test Automation applying for.
Click on Apply to know more.