Tech Lead

A Bachelor’s or Higher Degree is the minimum entry required for the position Objective Drive the end-to-end rationalization, reverse-engineering, and automated validation of legacy DataStage environments migrating to modern Databricks architectures. This role is critical to eliminating legacy code redundancies, mapping complex data lineage, and implementing automated testing frameworks to guarantee zero data loss and business disruption during system cutovers. Key Responsibilities Legacy Rationalization: Analyze DataStage .dsx/.isx exports and metadata to map end-to-end data lineage. Code Elimination: Identify and isolate "dead jobs", redundant code, and duplicate logic to streamline migration waves. Technical Translation: Provide functional logic explanations of complex parallel/server jobs to the PySpark development team. Test Automation: Deploy automated test frameworks to execute large-scale data reconciliation between DataStage and Databricks. Data Validation: Build automated scripts to validate data schemas, row counts, and complex transformations across dual-run environments. Regression Testing: Execute regression testing on newly refactored PySpark code against historical legacy data. Migration Sign-off: Document validation execution KPIs and formally sign off on data accuracy before live migration cutovers. Legacy ETL: IBM InfoSphere DataStage (Parallel/Server jobs, Sequences) and operational metadata analysis. Data Quality & Testing: Automated ETL Testing tools, PyTest, and Great Expectations. Languages & Querying: Advanced SQL, Python, and XML/JSON parsing. Target Platforms: Familiarity with Databricks, PySpark, and modern cloud data warehouses. The pay range for this role is $120k - $150kper annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insuranceand paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate. Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at View email address on click.appcast.io. #J-18808-Ljbffr Tech Mahindra