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Senior Data Quality & Validation Engineer (Power BI, SQL, Informatica, Data Warehouse Testing)

clarioclinical · Bangalore, India · Hybrid

Posted Sep 18, 2026

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At Clario, part of Thermo Fisher Scientific, we're seeking a Senior Data Quality & Validation Engineer to ensure the accuracy, integrity, and reliability of critical clinical data platforms. This role is ideal for a data-focused quality professional with expertise in complex SQL, data warehouse testing, ETL validation, Power BI reporting, and Informatica-based data pipelines. You'll work closely with data engineering, business intelligence, and product teams to validate large-scale data solutions that support clinical research and help bring life-changing therapies to patients faster. What We Offer Competitive compensation, incentives, and shift allowances Attractive benefits (Provident Fund, Medical Insurance & more) Engaging employee programs & local events Technology for remote/hybrid working and excellent onsite facilities in Bangalore What You'll Be Doing Lead testing and validation activities for data warehouse, ETL, reporting, and analytics solutions Design and execute comprehensive test strategies for data integration and reporting platforms Write and optimize complex SQL queries to validate data transformations, reconcile datasets, and investigate quality issues Validate data movement across source systems, ETL pipelines, data warehouses, and reporting layers Perform end-to-end testing of Power BI dashboards and reports, ensuring data accuracy, completeness, and business rule compliance Test and validate data pipelines built using Informatica PowerCenter and related ETL technologies Execute data warehouse testing across cloud and on-premise environments, including Snowflake and large-scale analytics platforms Develop test plans, test cases, validation protocols, and supporting documentation in accordance with SDLC and regulatory requirements Perform root cause analysis (RCA), risk assessments, and corrective actions (CAPA) to address data quality issues Partner with Data Engineering, BI, Product, and Development teams to ensure high-quality data delivery Validate complex business logic, data transformations, aggregations, and calculations used in reporting environments Support automation initiatives using Python, SQL, and modern testing methodologies Mentor junior team members and contribute to continuous improvement of validation standards and processes What We Look For Required Bachelor's degree in Computer Science, Information Technology, Data Engineering, or related discipline 7-10 years of experience in Software Quality Assurance, Data Testing, or Data Warehouse Testing Advanced expertise in SQL, including complex joins, stored procedures, performance tuning, and data validation techniques Proven experience testing Data Warehouse, ETL, Data Lake, and Business Intelligence solutions Hands-on experience validating Power BI dashboards, reports, and underlying datasets Strong experience with Informatica PowerCenter or comparable ETL platforms Experience validating data within…