Python and Selenium Lead

Role: Python and Selenium Lead Location: Dallas, TX- 100% ONSITE FROM DAY 1 Skills: Digital : Python~Selenium Experience Required: 10 & Above Skills: Python, PySpark, Machine Learning (MLflow), Hadoop (HDFS, Hive, Impala, Sqoop), Unix scripting, Oracle PL/SQL, workflow schedulers (CA-7/Control-M), Git, Jenkins, DevOps pipelines, Docker/OpenShift, Actimize, OFSAA FCCM, AWS (Glue, Athena, S3, SageMaker) Role Descriptions: Lead and define the QA strategy| test planning| and execution across complex data and application platformsDesign and implement automated testing frameworks using Python and PySpark for large-scale data validationValidate data pipelines across Hadoop ecosystem (HDFS| Hive| Impala| Sqoop) ensuring completeness| accuracy| and consistencyDevelop end-to-end test scenarios covering batch processing| data ingestion| transformation| and downstream consumptionPerform database validation and reconciliation using Oracle PLSQL and SQL-based techniquesValidate machine learning pipelines and models| including experiment tracking via MLflowMonitor and validate workflows orchestrated through Control-M CA-7 schedulersCollaborate with development teams to embed quality gates into CICD pipelines using Jenkins and GitDrive test automation within DevOps pipelines| ensuring seamless integration with build and release processesPerform Unix-based scripting for test automation| data checks| and batch validationLead defect triage| root cause analysis| and resolution trackingEnsure adherence to regulatory and audit requirements| especially in data-sensitive environmentsMentor QA engineers and promote best practices in test automation and quality engineeringRequired Skills Experience8 years of experience in Quality Assurance Test Engineering| with leadership responsibilitiesStrong proficiency in Python and PySpark for automation and data validationSolid experience with big data platforms (Hadoop| Hive| Impala| Sqoop)Hands-on expertise in Oracle PLSQL and relational database validationExperience with workflow schedulers such as Control-M or CA-7Strong UnixLinux scripting experienceExperience integrating QA into CICD pipelines using Jenkins and GitFamiliarity with DevOps practices and automated pipeline testingExperience with container platforms (Docker OpenShift)Strong analytical and debugging skills| especially in data-related issues Essential Skills: 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 DevOps-driven QA processes.