AWS Data Engineer

Tata Consultancy Services; Mumbai; On-site; INR 1,100,000 - 1,900,000; Full time

Job summary

Tata Consultancy Services in Mumbai, India is seeking an experienced AWS Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions on AWS. The role requires hands-on data engineering, ETL development, and expertise with AWS data services for large-scale processing.

You will design pipelines, optimize ETL/ELT processes, work with data lakes and data warehouses, ensure data quality and governance, and collaborate with analysts and data scientists across

Qualifications

• Proven experience designing scalable data pipelines on AWS
• Hands-on ETL/ELT development for structured and unstructured data
• Strong SQL and data warehousing fundamentals

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.

Skills

AWS Cloud Services

SQL

Python/PySpark/Scala

ETL/Data Warehousing concepts

CI/CD / DevOps

Data modeling

Tools

AWS Glue

AWS EMR

AWS Lambda

S3

Redshift

Athena

Kinesis

Job description

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

• Strong 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, PySpark, or Scala.
• Knowledge of ETL/Data Warehousing concepts.
• Experience with CI/CD, Git, and DevOps 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.