Quality Assurance Lead

Quality Assurance Lead

We are seeking a Quality Assurance Lead (Contractor) to drive end-to-end testing strategy and quality engineering practices for large-scale data platforms and distributed systems. This role will focus on ensuring data integrity, regulatory compliance, and system reliability, particularly within high-volume batch and streaming environments. The ideal candidate brings strong expertise in big data testing, automation frameworks, and data validation, along with experience in workflow orchestration and Dev Ops-driven QA processes.

Lead and define the QA strategy, test planning, and execution across complex data and application platforms. Design and implement automated testing frameworks using Python and PySpark for large-scale data validation. Validate data pipelines across Hadoop ecosystem (HDFS, Hive, Impala, Sqoop) ensuring completeness, accuracy, and consistency. Develop end-to-end test scenarios covering batch processing, data ingestion, transformation, and downstream consumption. Perform database validation and reconciliation using Oracle PL/SQL and SQL-based techniques.

Validate machine learning pipelines and models, including experiment tracking via MLflow. Monitor and validate workflows orchestrated through Control-M / CA-7 schedulers. Collaborate with development teams to embed quality gates into CI/CD pipelines using Jenkins and Git. Drive test automation within Dev Ops pipelines, ensuring seamless integration with build and release processes. Perform Unix-based scripting for test automation, data checks, and batch validation.

Lead defect triage, root cause analysis, and resolution tracking. Ensure adherence to regulatory and audit requirements, especially in data-sensitive environments. Mentor QA engineers and promote best practices in test automation and quality engineering

8+ years of experience in Quality Assurance / Test Engineering, with leadership responsibilities. Strong proficiency in Python and PySpark for automation and data validation. Solid experience with big data platforms (Hadoop, Hive, Impala, Sqoop). Hands-on expertise in Oracle PL/SQL and relational database validation. Experience with workflow schedulers such as Control-M or CA-7. Strong Unix/Linux scripting experience. Experience integrating QA into CI/CD pipelines using Jenkins and Git.

Familiarity with Dev Ops practices and automated pipeline testing Experience with container platforms (Docker / Open Shift) Strong analytical and debugging skills, especially in data-related issues

Experience with Actimize or OFSAA FCCM platforms (financial crime / AML domain). Exposure to cloud platforms (AWS – Glue, Athena, S3, Sage Maker) Experience testing machine learning models and data science workflows Knowledge of data governance, lineage, and regulatory reporting frameworks

Salary Range - $100,000-$110,000 a year with Fulltime benefits

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.