AWS Data Engineer

Rocket India; Chennai District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Rocket India in Chennai is seeking an experienced AWS Data Engineer to design, build, and optimize scalable data pipelines within the AWS ecosystem, leveraging Glue, S3, Redshift, and Lambda. You will partner with engineering, analytics, and business stakeholders to deliver reliable data platforms.

This role requires hands-on Python, SQL, and PySpark expertise, along with strong data governance and cost-aware architecture.

Qualifications

• Experience designing scalable data pipelines on AWS.
• Proficient with AWS Glue, S3, Redshift, Lambda, PySpark, Python and SQL.
• Strong collaboration with engineering and analytics teams.

Responsibilities

• Design, develop, and maintain scalable data pipelines on AWS.
• Build ETL/ELT workflows with AWS Glue.
• Develop automation and data transformations using Python.
• Support data warehousing with Redshift and Snowflake.
• Manage relational and NoSQL databases (RDS, DynamoDB).
• Create serverless, event-driven apps with Lambda.
• Ensure data quality, governance, security, and reliability.
• Optimize architectures for performance and cost.
• Collaborate with cross-functional teams to deliver data solutions.

Skills

Data engineering

AWS cloud

ETL/ELT development

Tools

AWS Glue

S3

Redshift

AWS Lambda

Python

SQL

PySpark

Snowflake

RDS

DynamoDB

Job description

We're looking for an experienced AWS Data Engineer with expertise in AWS Glue, S3, Redshift, Lambda, Python, SQL, and PySpark to build and optimize scalable data pipelines and cloud-based data solutions.

Interested candidates please fill the forms and register yourself : AWS Data Engineer – Fill out form

CANDIDATES WHO ARE AVAILABLE FOR INPERSON (CHENNAI DLF) ONLY APPLY

Position Overview:

As a AWS Data Engineer, you will be responsible for designing, developing, and optimizing scalable cloud-based data solutions within the AWS ecosystem. You will partner closely with engineering, analytics, and business stakeholders to build reliable, secure, and high-performing data platforms.

Key Responsibilities

• Design, develop, and maintain scalable data ingestion and transformation pipelines on AWS.
• Build and optimize ETL/ELT workflows using AWS Glue.
• Develop automation, orchestration, and data transformation solutions using Python.
• Design and support enterprise data warehousing solutions with Amazon Redshift and Snowflake.
• Develop and manage relational database solutions using Amazon RDS.
• Build high-performance NoSQL solutions using Amazon DynamoDB.
• Create serverless, event-driven applications using AWS Lambda.
• Ensure data quality, governance, security, and platform reliability.
• Optimize data architectures for performance, scalability, and cost efficiency.
• Collaborate with cross-functional teams to deliver business-focused data solutions.