Must Have Technical/Functional Skills
Primary skill: Python, ETL/ELT pipelines, SQL, PySpark/Pandas, Big Data (Spark, Hadoop), Airflow, Data
Modeling & Warehousing, AI/ML data pipelines, Cloud (AWS/Azure/GCP), Data Integration, Git
Experience: Minimum 10 years
Roles & Responsibilities
• Develop and maintain data pipelines using Python for data ingestion, transformation, and processing
• Design and implement ETL/ELT workflows for large-scale data systems
• Work with structured and unstructured data from multiple data sources
• Collaborate with data scientists and AI/ML teams to support model development and deployment
• Build and manage data integration frameworks and workflows
• Ensure data quality, validation, and governance across all pipelines
• Optimize data processing performance and scalability
• Develop and manage data storage solutions such as data lakes and data warehouses
• Automate repetitive tasks and improve operational efficiency
• Monitor and troubleshoot data pipelines and workflows
• Implement best practices for coding, testing, and documentation
• Support AI/ML use cases by preparing and delivering clean, usable datasets
• Work with orchestration tools like Airflow for scheduling workflows
• Collaborate with cross-functional teams for data-related requirements
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.
Salary Range: $110,000-$130,000 a year
