Data Engineer _ Python/AI

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