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We are looking for a highly skilled Sr. QA Engineer (ETL) with extensive experience in database testing, ETL validation, and test data management. The ideal candidate will have strong expertise in writing and automating complex SQL scripts, ensuring data accuracy across platforms, and optimizing query performance. This role requires collaboration with business, product, and data platform teams to validate backend data processes and support seamless product development. A proven ability to mentor teams, handle large data volumes, and streamline QA automation is essential for success.
Job Responsibility:
Experience in understanding ETL Source to Target Mapping Document and create QA documents and artifacts accordingly
Create test data according to new features/data platform upgrades and Business Rules
Mentor the QA team and work with cross teams to understand the business requirements and create test scripts accordingly
Create ETL, DB validation and other QA scripts in offshore and work with onshore team to make sure execution and reports are shared with business leads
Automate the existing and new SQL scripts being developed during product development and Implementation lifecycle
Develop and maintain automated ETL test scripts to streamline testing processes and improve efficiency
Testing the data and the portals in Production and UAT
Requirements:
Minimum 6 years of experience working in QA/ETL
Minimum 6 years of experience working in Test Data Management and Database testing
Strong experience in creating and automating complex SQL queries, advanced SQL concepts and query optimizations
Design, create and execute test cases for ETL processes, covering data extraction, transformation, and loading
Experience in validating data reconciliation scripts for volume data validation in ETL and Data integration testing
Experience in handling Big Volume of data
Experience on version control tools
Must have worked with US based clients in onsite/off shore delivery model
Strong verbal and written communication, technical articulation, listening, and presentation skills are essential
Should have proven analytical and problem-solving skills
Demonstrated expertise in prioritization, time management, and stakeholder management (both internal and external) is necessary
Should be a quick learner, self-starter, proactive, and an effective team player
Must have experience working under tight deadlines within a matrix organizational structure
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