Project Role Quality Engineering Lead Test Lead Project Role Description Leads a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle Applies business and functional knowledge to develop end-to-end testing strategies through the use of quality processes and methodologies Applies testing methodologies principles and processes to define and implement key metrics to manage and assess the testing process including test execution and defect resolution Must have skills Data Warehouse ETL Testing Good to have skills NA Minimum 5 year s of experience is required Educational Qualification 15 years full time education Summary We are looking for an experienced Data and AI ETL Tester to validate end-to-end data engineering solutions built on Databricks using Python PySpark The ideal candidate will be responsible for testing complex data transformation pipelines ensuring data quality across the data warehouse and aggregated layers validating reporting outputs and contributing to the automation of testing processes This role will also focus on testing metadata-driven frameworks and Agentic AI solutions designed for automated data quality management metadata validation and intelligent test generation Roles Responsibilities - ETL and Data Pipeline Testing Validate ETL ELT processes developed in Databricks Python PySpark for correctness performance and scalability Conduct data validation reconciliation and regression testing across staging curated and aggregated layers Ensure consistency of data transformations between the data lake warehouse and reporting layers Perform schema validation business rule verification and data lineage testing Data Warehouse and Reporting Validation Validate data aggregation logic and ensure data accuracy in analytical and reporting layers Cross-check BI reports dashboards e g Power BI Tableau against source and transformed data o Test data models measures and KPIs to ensure reporting accuracy Data Quality and Metadata Testing Execute tests for data quality dimensions accuracy completeness consistency validity timeliness uniqueness Validate metadata-driven frameworks that dynamically manage ETL logic and schema evolution Test AI-driven or Agentic AI data quality frameworks validating automation intelligent rule generation anomaly detection and self-healing data flows Test Automation and Framework Development Develop and maintain automated data testing frameworks using Python PySpark or Databricks notebooks Integrate automated tests into CI CD pipelines e g Azure DevOps Jenkins GitHub Actions Implement reusable test scripts for data validation metadata verification and data quality monitoring Contribute to the test strategy test planning and execution for continuous integration and testing Collaboration and Documentation Work closely with data engineers data scientists BI developers and AI solution architects to ensure data accuracy and reliability Create and maintain test plans test cases test data and defect logs Support root cause analysis and provide actionable insights to improve data quality and testing efficiency Professional Technical Skills 7 years of experience in ETL or data testing with strong understanding of data engineering principles Experience in test automation using Python PySpark and integrating with CI CD pipelines Strong expertise in data validation data reconciliation and testing large-scale data pipelines Experience testing data warehouse aggregation layers and reporting outputs Solid understanding of metadata-driven frameworks and data quality validation concepts o Familiarity with Agentic AI or AI-driven data quality automation tools Hands-on experience with Databricks Python and PySpark Strong SQL skills for data verification and troubleshooting Working knowledge of data lakehouse architectures Delta Lake and data governance tools Excellent analytical communication and problem-solving skills Must have skill Experience with Azure Data Services AWS Glue or GCP BigQuery Exposure to data quality frameworks Familiarity with AI Ops MLOps or data observability frameworks Certification in Databricks Azure Data Engineer or Data Quality Testing tools Additional Information - The candidate should have a minimum of 5 years of experience in Large Language Models - This position is based at our Bengaluru office - A 15 years full time education is required 15 years full time education About Accenture Accenture is a leading global professional services company that helps the world s leading businesses governments and other organizations build their digital core optimize their operations accelerate revenue growth and enhance citizen services creating tangible value at speed and scale We are a talent- and innovation-led company with approximately 791 000 people serving clients in more than 120 countries Technology is at the core of change today and we are one of the world s leaders in helping drive that change with strong ecosystem relationships We combine our strength in technology and leadership in cloud data and AI with unmatched industry experience functional expertise and global delivery capability Our broad range of services solutions and assets across Strategy Consulting Technology Operations Industry X and Song together with our culture of shared success and commitment to creating 360 value enable us to help our clients reinvent and build trusted lasting relationships We measure our success by the 360 value we create for our clients each other our shareholders partners and communities Visit us at Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences All employment decisions shall be made without regard to age race creed color religion sex national origin ancestry disability status military veteran status sexual orientation gender identity or expression genetic information marital status citizenship status or any other basis as protected by applicable law Our rich diversity makes us more innovative more competitive and more creative which helps us better serve our clients and our communities