Technical Lead

Skill: Quality Assurance Lead

Must Have Technical/Functional 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.

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

Required Skills & Experience:

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

Salary Range - $100,000-$110,000 a year

TCS Employee Benefits Summary:

Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.