Lead - ETL Testing
Neurealm · Chennai · onsite · Posted 44d ago
Undisclosed7–14 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
- Develop comprehensive test strategies, test plans, test cases, test scripts and test execution reports.
- Execute software and data testing including functional, end-to-end, data migration quality assurance, regression and UAT support to ensure flawless system performance and data integrity.
- Lead end-to-end QA activities throughout the Software Development Life Cycle (SDLC) and Agile methodologies.
- Test ETL/ELT pipelines developed using Databricks and cloud-based data processing frameworks, requiring hands-on experience validating Delta Tables, Notebooks,SQL and PySpark transformations.
- Ability to prepare mock data sets as required for testing scenarios.
- Verify data quality checks within ingestion and transformation pipelines.
- Perform source-to-target reconciliation with Data Migration Testing experience
- Perform report reconciliation between legacy reporting systems and new analytics platforms.
- Prepare QA metrics, test status reports and release readiness assessments.
- Improve test coverage through automation and shift-left testing practices.
- Verify KPI calculations, measures, aggregations, filters and drill-down functionality.
- Ensure complete traceability between business requirements and testing artifacts.
- Conduct Root Cause Analysis (RCA) for defects and collaborate with development teams for resolution.
- Drive defect lifecycle management using tools such as Jira, Azure DevOps or Quality Center.
- Manage defect lifecycle and coordinate issue resolution with development teams.
- Integrate automation testing within CI/CD pipelines using Jenkins, Azure DevOps or GitHub Actions.
- Participate in sprint ceremonies and release validation activities.
- Experience with Master Data Management and one or more tools like Azure DevOps, Jira, Quality Center
Mandatory Skills:
ETL/Data Testing, Data Validation and reconciliation, Strong analytical troubleshooting skills, Hands-on exposure to validating data across enterprise ETL platforms (AbInitio, SSIS, DataStage) and automating data quality checks using Pytest or similar testing frameworks.
Good-to-Have Skills:
- Healthcare Domain Experience with Healthcare Reporting Analytics, Provider Data Validation,Clinical Data Testing, Claims Data Validation and understanding of Databricks ecosystem
- Experience working on large-scale cloud data migration, modernization or data warehouse transformation programs.
- Ability to understand complex data workflows and troubleshoot issues within data pipelines.
- Knowledge of cloud based data platforms such as Azure or AWS.
- Strong understanding of Agile Scrum Methodologies and proactive approach towards identifying risks and quality improvements.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
AutomationAzure DevopsAgileCI/CD Pipelinesclinical dataamazon web servicesBusiness Requirementsanalytics platformsAutomatingAnalyticsCloud DataData MigrationcloudAutomation TestingMicrosoft AzureData Pipeline
About Neurealm
Neurealm
IT Services & Consulting
1.9k+
employees
1998
28 years old
Chennai, Tamil Nadu
India
₹14L PA avg
Avg at Neurealm
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GAVS is a company that focuses on AI, automated root cause analysis, predictive analytics, and robotics-led infrastructure management services.
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