Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people’s stories across our workforce and implemented through equitable workplace policies and processes. Required Skills & Experience Strong hands‑on experience with GCP Dataproc and Apache Spark (PySpark preferred) Python scripting for custom data transformations and business logic Experience building ETL pipelines in the GCP ecosystem Solid understanding of Salesforce data model and Salesforce APIs (Bulk API, REST API) Experience with GCS for file handling and cloud storage patterns Preferred Exposure to GitLab CI/CD (understanding pipeline YAML, not building from scratch) Prior Salesforce data migration projects (especially Health Cloud or Life Sciences Cloud) Knowledge of DLP implementation and PII handling best practices Healthcare data compliance knowledge (PIPEDA, HIPAA) Technical Depth Ability to debug complex Spark jobs and resolve memory/performance issues Strong SQL skills for data validation and reconciliation Experience handling large datasets (300 GB+ structured, 3 TB+ documents) Comfortable working with 70+ object schemas and complex relationships Salary Range - CA$ 100,000 - CA$ 120,000 Per Year #J-18808-Ljbffr