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# Quality Engineer Principal - Big Data / Hadoop / Data Warehousing

- **Company:** The PNC Financial Services Group, Inc.
- **Location:** Strongsville, OH, United States
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Automation of Tests, Big Data, Cloud Computing, Data Validation, Extract Transform Load (ETL), Data Systems, Data Warehousing, DevOps, Apache Hadoop, Python (Programming Language), Scrum Methodology, Systems Development Life Cycle, E2e Testing, SQL Databases, Software Testing Automation Framework, Strategies of Testing, Data Ingestion, Delivery Pipeline, Apache Spark, Pyspark, Data Pipelines
- **Published:** August 12, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/quality-engineer-principal-big-data-hadoop-data-warehousing-strongsville-oh-usa-58910062

## About the Role

_ 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)

## Description

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)


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