Quality Engineer Principal - Big Data / Hadoop / Data Warehousing

Experteer Overview As a Quality Engineer Principal in PNC’s Data and Automation group, you will shape enterprise QA practices for large-scale Big Data, Hadoop, and Data Warehouse platforms. You’ll lead test strategy, automation architecture, and quality governance across onshore and offshore teams, partnering with cross-functional stakeholders to ensure high-quality releases. You’ll impact data pipelines, ETL validation, and cloud-enabled data solutions while coaching a small QA team and driving continuous improvement. This is a hands-on leadership role at scale, aligned with PNC’s customer-focused, risk-aware culture. Compensation / Benefits * Define QA architecture, test strategies, and quality frameworks for Big Data, Hadoop, and Data Warehouse apps * Establish SDLC and STLC best practices across projects * Lead a team of 3-5 QA engineers with mentoring and performance oversight * Coordinate delivery across onsite and offshore teams * Design and implement scalable test automation for data ingestion, transformation, processing, and reporting * Develop and maintain automated validation frameworks using Python * Collaborate with Architects, Product Owners, Developers, Data Engineers, and Business stakeholders * Create test strategies covering functional, integration, regression, performance, ETL, data validation, and end-to-end testing * Validate data pipelines and large datasets across Hadoop, Spark, Data Warehouse, and Cloud platforms * Perform root cause analysis of defects and drive continuous quality improvements * Define quality metrics, reporting, and release readiness criteria * Support Agile, Scrum, and DevOps practices with a quality-first mindset Tasks * Extensive experience in Quality Assurance, Test Architecture, or Quality Engineering roles * Strong knowledge of SDLC and STLC methodologies * Proven experience leading teams of 3-5 in onsite-offshore delivery * Hands-on development and automation with Python * Experience testing and validating Big Data/Hadoop solutions * Strong Data Warehouse and ETL testing expertise * Experience with Apache Spark and PySpark * Proficiency in HQL and SQL for data validation * Experience with AWS or other cloud platforms * Knowledge of CI/CD pipelines and modern test automation frameworks * Strong analytical, problem-solving, and communication skills Key requirements * medical/dental/vision coverage * life insurance * short and long-term disability * 401(k) with company match * pension and stock purchase plans * educational assistance program(s)

_ for data ingestion, transformation, processing, and reporting * Develop and maintain automated validation frameworks using Python * Collaborate with Architects, Product Owners, Developers, Data Engineers, and Business stakeholders * Create test strategies covering functional, integration, regression, performance, ETL, data validation, and end-to-end testing * Validate data pipelines and large datasets across Hadoop, Spark, Data Warehouse, and Cloud platforms * Perform root cause analysis of defects and drive continuous quality improvements * Define quality metrics, reporting, and release readiness criteria * Support Agile, Scrum, and DevOps practices with a quality-first mindset Tasks * Extensive experience in Quality Assurance, Test Architecture, or Quality Engineering roles * Strong knowledge of SDLC and STLC methodologies * Proven experience leading teams of 3-5 in onsite-offshore delivery * Hands-on development and automation with Python * Experience testing and validating Big aaa Business solutions * Strong Data Warehouse and ETL testing expertise * Experience with Apache Spark and PySpark * Proficiency in HQL and SQL for data validation * Experience with AWS or other cloud platforms * Knowledge of CI/CD pipelines and modern test automation frameworks * Strong analytical, problem-solving, and communication skills Key requirements * medical/dental/vision coverage * life insurance * short and long-term disability * 401(k) with company match * pension and stock purchase plans * educational assistance program(s)