Data Analyst (Testing, ETL, Python Testing)

Mandatory SkillsData Testing, Python Testing, ETL testing LocationBangalore ShiftRotational ModeWFO Job DescriptionTo really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purposeled and valuesdriven leader at every level. To help us achieve this we have the PwC Professional, our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Data Quality Engineer (DQE) in the Managed Services Platform, you will be responsible to ensure the accuracy, consistency, completeness, and reliability of data across the enterprise data ecosystem. This role focuses on validating data pipelines, ETL processes, and analytical outputs to maintain high-quality, trusted data for business insights and decision-making. Demonstrated expertise in ETL testing, ensuring data accuracy, reliability, and integrity across all stages of data processing.Strong proficiency in SQL for complex querying, data validation, and troubleshooting.Solid understanding of data ingestion, transformation, enrichment, quality, governance, lineage, and pipeline design patterns.Handson experience with ETL testing tools such as Data Gaps, QuerySurge, iceDQ or equivalent platforms.Proven experience in developing Mandatory SkillsData Testing, Python Testing, ETL testing LocationBangalore ShiftRotational ModeWFO Job DescriptionTo really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purposeled and valuesdriven leader at every level. To help us achieve this we have the PwC Professional, our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Data Quality Engineer (DQE) in the Managed Services Platform, you will be responsible to ensure the accuracy, consistency, completeness, and reliability of data across the enterprise data ecosystem. This role focuses on validating data pipelines, ETL processes, and analytical outputs to maintain high-quality, trusted data for business insights and decision-making. Demonstrated expertise in ETL testing, ensuring data accuracy, reliability, and integrity across all stages of data processing.Strong proficiency in SQL for complex querying, data validation, and troubleshooting.Solid understanding of data ingestion, transformation, enrichment, quality, governance, lineage, and pipeline design patterns.Handson experience with ETL testing tools such as Data Gaps, QuerySurge, iceDQ or equivalent platforms.Proven experience in developing