AWS Data Engineer

Experience: 6-12 Years

Location: Mumbai

Role Overview

We are looking for an experienced AWS Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions on AWS. The ideal candidate should have hands-on experience in data engineering, ETL development, AWS data services, and large-scale data processing.

Key Responsibilities
Design, build, and maintain scalable data pipelines on AWS. Develop and optimize ETL/ELT processes for structured and unstructured data. Work with large datasets using cloud-native AWS services. Build and maintain data lakes and data warehouses. Ensure data quality, governance, security, and performance optimization. Collaborate with business stakeholders, analysts, and data scientists.



Troubleshoot and resolve data pipeline and production issues. Required Skills
Robust experience in AWS Cloud Services. Hands-on experience with AWS Glue, EMR, Lambda, S3, Redshift, Athena, Kinesis. Strong SQL and database expertise. Experience with Python, Py Spark, or Scala. Knowledge of ETL/Data Warehousing concepts. Experience with CI/CD, Git, and Dev Ops practices. Understanding of data modeling and performance tuning. Preferred Skills
Experience with Apache Spark, Hadoop ecosystem. Knowledge of Airflow or workflow orchestration tools. Exposure to Snowflake or Databricks. AWS Certification is an added advantage.

📌 Aws Data Engineer (Maharashtra)
🏢 Tata Consultancy Services
📍 Maharashtra