Job Description
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
Qualifications: BACHELOR OF COMPUTER SCIENCE
US
