Senior Data Engineer

Rocket India; Chennai; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Rocket India is seeking a data engineer to design, build, and optimize scalable data pipelines on AWS. You will implement ETL/ELT workflows using AWS Glue, develop automation in Python, and design cloud data warehouses with Redshift and Snowflake.

You will also work with RDS and DynamoDB, building serverless data apps with Lambda while ensuring data quality and security across platforms. You will collaborate with cross-functional teams across Product, Engineering, Analytics, and business units,

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.
• 4–6 years of experience in Data Engineering, Data Integration, or Cloud Data Platform development.
• Hands-on experience with AWS data and analytics services.
• Strong expertise in AWS Glue for ETL pipeline development and data catalog management.
• Proficiency in Python for data processing, automation, and workflow development.
• Experience with Redshift and/or Snowflake for enterprise data warehousing.
• Experience with relational databases and Amazon RDS.
• Knowledge of NoSQL concepts and DynamoDB.
• Experience building serverless apps with AWS Lambda.
• Strong SQL skills and data modeling understanding.
• Experience designing and supporting large-scale data pipelines in cloud environments.
• Familiarity with Agile and DevOps practices.
• Strong analytical and communication skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines on AWS.
• Build and optimize ETL/ELT workflows using AWS Glue.
• Develop automation and data transformation solutions using Python.
• Design and support cloud data warehouse solutions using Redshift and Snowflake.
• Create and optimize relational databases with RDS.
• Develop NoSQL data models using DynamoDB.
• Build serverless, event-driven data processing with Lambda.
• Ensure data quality, governance, and security across platforms.
• Optimize architectures for scalability, performance, and cost.
• Collaborate with Product, Engineering, Analytics, and business teams.
• Monitor, troubleshoot, and enhance production data pipelines.

Skills

Data engineering

AWS data services

Python

SQL

Data modeling

ETL/ELT pipelines

Cloud data warehouses

NoSQL databases

Serverless architectures

Communication

Education

Bachelor's degree in Computer Science / Information Systems / Engineering

Tools

AWS Glue

Amazon Redshift

Snowflake

Amazon RDS

Amazon DynamoDB

AWS Lambda

Terraform / CloudFormation

Job description

About the Role

• Design, develop, and maintain scalable data ingestion, transformation, and processing pipelines on AWS.


• Build and optimize ETL/ELT workflows using AWS Glue for data integration, cataloging, and processing.


• Develop automation, orchestration, and data transformation solutions using Python.


• Design and support cloud data warehouse solutions using Amazon Redshift and Snowflake.


• Create, manage, and optimize relational database solutions using Amazon RDS.


• Develop NoSQL data models and high-performance data applications using Amazon DynamoDB.


• Build serverless, event-driven data processing solutions using AWS Lambda.


• Ensure data quality, integrity, security, governance, and reliability across cloud data platforms.


• Optimize data architectures for scalability, performance, operational resilience, and cost efficiency.


• Collaborate with cross-functional stakeholders across Product, Engineering, Analytics, and business teams to understand requirements and deliver business-focused data solutions.


• Monitor, troubleshoot, and continuously enhance production data pipelines, workflows, and platforms.


• Participate in architecture reviews, code reviews, agile ceremonies, and continuous improvement initiatives.

About You

Minimum Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field.


• 4–6 years of experience in Data Engineering, Data Integration, or Cloud Data Platform development.


• Hands‑on experience working with AWS data and analytics services.


• Strong expertise in AWS Glue for ETL pipeline development and data catalog management.


• Proficiency in Python for data processing, automation, and workflow development.


• Experience with Amazon Redshift and/or Snowflake for enterprise data warehousing solutions.


• Experience working with relational databases and Amazon RDS.


• Knowledge of NoSQL database concepts and hands‑on experience with Amazon DynamoDB.


• Experience building serverless applications using AWS Lambda.


• Strong SQL skills and a solid understanding of data modeling principles.


• Experience designing, developing, and supporting large-scale data pipelines in cloud environments.


• Familiarity with Agile development methodologies and DevOps practices.


• Strong analytical thinking, problem‑solving skills, and the ability to work effectively in a collaborative, fast‑paced environment.


• Excellent communication skills with the ability to engage technical and non‑technical stakeholders.

Preferred Qualifications

• AWS Certification(s), such as AWS Certified Data Engineer – Associate, AWS Certified Solutions Architect – Associate, or AWS Certified Developer – Associate.


• Experience with Infrastructure as Code tools such as Terraform or AWS CloudFormation.


• Knowledge of data lake architectures and modern cloud data ecosystems.


• Exposure to CI/CD pipelines, automation frameworks, and release management practices.


• Experience implementing data governance, data security, and cloud platform best practices.


• A passion for building scalable, high‑quality data solutions with a mindset focused on continuous learning, innovation, and operational excellence.

What You’ll Get

At Rocket India, you’ll be part of a collaborative, technology‑led environment where your work contributes to platforms that create meaningful impact at enterprise scale. You’ll have opportunities to solve complex engineering challenges, partner with global teams, and grow your expertise in modern cloud data technologies. We support continuous learning, innovation, and career development while fostering an inclusive culture where team members are empowered to do their best work.

About Us

Rocket India, registered as NSM Services Private Limited and formerly Mr. Cooper, is a wholly owned subsidiary of Rocket Mortgage, LLC, headquartered in Detroit, Michigan. As a core part of Rocket’s global ecosystem, Rocket India builds scalable technology platforms and digital solutions that simplify mortgage origination and servicing. Our teams across Operations, Product, Technology, Innovation, and Customer functions partner with global teams to remove friction, enable smarter decisions, and create lasting value for homeowners while supporting Rocket’s mission to Help Everyone Home.

We are committed to providing a fair and inclusive workplace for all team members and applicants. All qualified applicants will receive consideration for employment without regard to sex, religion, caste, disability, or gender identity, consistent with applicable Indian law, including the Constitution of India, the Code on Wages, 2019, the Rights of Persons with Disabilities Act, 2016, and the Transgender Persons (Protection of Rights) Act, 2019. We welcome applications from persons with disabilities and from all sections of society."