> Markdown version of [/jobs/ext/1256331-technical-lead](https://www.wearedevelopers.com/jobs/ext/1256331-technical-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Lead - **Company:** Tata Consultancy Services Limited - **Location:** Dallas, TX, United States - **Experience:** Expert - **Salary:** $100,000.0 - $110,000.0 - **Contract:** Permanent contract - **Skills:** Amazon S3, Automation of Tests, Batch Processing, Big Data, Unix, Cloudera Impala, Databases, Data Validation, Data Governance, Data Integrity, Relational Databases, Software Debugging, DevOps, Distributed Systems, Apache Hadoop, Hadoop Distributed File System, Apache Hive, Python (Programming Language), Machine Learning, OpenShift, Oracle SQL Developer, Release Management, SQL Databases, Sqoop, Workflow Management Systems, Data Ingestion, OFSAA (Oracle Financial Services Analytical Applications) Analytical Tools Suite, Delivery Pipeline, Reliability of Systems, Git, Containerization, Pyspark, Information Technology, AWS Glue, Machine Learning Operations, Actimize, Data Pipelines, Docker, Jenkins, Control M - **Published:** July 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=322cb2bd90a178e4 ## About the Role * 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 DevOps practices and automated pipeline testing * Experience with container platforms (Docker / OpenShift) * Strong analytical and debugging skills, especially in data-related issues Nice-to-Have Skills * Experience with Actimize or OFSAA FCCM platforms (financial crime / AML domain). * Exposure to cloud platforms (AWS - Glue, Athena, S3, SageMaker) * Experience testing machine learning models and data science workflows * Knowledge of data governance, lineage, and regulatory reporting frameworks, Qualifications : BACHELOR OF COMPUTER SCIENCE ## Description * 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. Roles & Responsibilities: * 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 DevOps 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 ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [WeAreDevelopers LIVE - Node and Package Security](https://www.wearedevelopers.com/videos/2138-wearedevelopers-live-node-and-package-security) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Continuous testing - run automated tests for every change!](https://www.wearedevelopers.com/videos/190-continuous-testing-run-automated-tests-for-every-change) - [The Time Paradox: Building Timezone-Safe Python/Django Applications](https://www.wearedevelopers.com/videos/1915-the-time-paradox-building-timezone-safe-python-django-applications) ## Related Articles - [The 8 Best Code Testing Tools](https://www.wearedevelopers.com/magazine/402-the-8-best-code-testing-tools) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)