AWS Data Engineering

Job description

TCS Inviting applications for AWS Data Engineering Experience Range:5+ Years Location: Delhi, Pune, Chennai, Hyderabad, Bengaluru

Job Description

Key Responsibilities:

• Design and develop ETL pipelines using AWS Glue and PySpark
• Build and manage scalable data solutions on AWS ( S3, Redshift, EMR, Lambda )
• Process large-scale data using Apache Spark ecosystem
• Ensure data quality, security, and performance optimization
• Develop batch and near real-time data processing workflows
• Collaborate with stakeholders to deliver data-driven solutions Required Skills & Experience: 5+ years of experience in Data Engineering
• Strong hands-on experience in Python, PySpark, and SQL Expertise in AWS Glue, S3, Redshift, EMR, Lambda Experience with Apache Spark / Hadoop ecosystem Strong Data Warehouse experience (Redshift/Hive) Experience with Airflow or scheduling tools
• Knowledge of ETL design, data modeling, and OLTP/OLAP systems Good to Have: Exposure to AWS Athena, Step Functions Experience with NoSQL (DynamoDB, MongoDB)
• Knowledge of Data Lakes and modern data architectures
• Familiarity with ETL tools like Informatica/Netezza

Qualifications

BACHELOR OF ENGINEERING