Must Have Technical/Functional Skills Google Cloud Platform (GCP) PySpark Python Airflow Hive Kafka Data Pipeline Development, Enhancement & Maintenance Design, build, and maintain scalable ETL/ELT pipelines. Automate data ingestion from multiple data sources. Ensure reliable, high-performance, and scalable data movement. Develop and optimize PySpark-based data processing frameworks. Build and manage Airflow workflows and orchestration pipelines. Work with Hive and Kafka-based batch and streaming data solutions. Implement data quality, monitoring, governance, and operational controls. Support production incidents, performance tuning, and continuous improvement initiatives Roles & Responsibilities The Data Engineer will be responsible for designing, building, governing, and optimizing data platforms, pipelines, and integrations to ensure secure, reliable, and scalable data availability for analytics, reporting, AI/ML, and business operations. Preferred Experience Strong Functional Knowledge in Retail (Search & Personalization) Added advantage. Strong experience with large-scale GCP Data Engineering solutions. Hands-on experience with Airflow DAG development and support Experience building and optimizing Spark/PySpark data pipelines. Exposure to Hive-based data processing and Kafka-driven ingestion frameworks. Experience supporting analytics, personalization, recommendation, or search platforms is highly desirable
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:
Aut& 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. #LI-KR3 Salary Range-$110,000-$150,000 a year