Value Momentum
Job Locations: Hyderabad | Pune | Coimbatore
Experience: 4–12 Years
Work Mode: Work From Office – 5 Days
About the Role
Value Momentum is looking for experienced AWS Data Engineers to design, develop, and maintain scalable cloud-native data engineering solutions on AWS. You will build high-performance ETL/ELT pipelines and modern data platforms supporting enterprise analytics, reporting, and business intelligence initiatives. You will work closely with architects, business stakeholders, and cross-functional teams to deliver secure, scalable, and reliable data solutions for global insurance clients.
Key Skills AWS Data Engineering: AWS Glue, Amazon S3, Amazon Redshift, AWS Lambda
Data Engineering: ETL/ELT, Scalable Data Pipelines, Data Warehousing
Programming: Py Spark, Python
Cloud/Data Platform: Snowflake
Key Responsibilities
Design, develop, and maintain scalable AWS data pipelines. Build ETL/ELT solutions using AWS Glue, S3, Redshift, and Lambda.



Develop data processing and transformation solutions using Py Spark/Python. Work with Snowflake for data warehousing and analytics. Ensure data quality, reliability, security, and performance. Optimize data pipelines and troubleshoot production issues. Collaborate with architects, business stakeholders, and cross-functional teams. Contribute to modern cloud-native data platforms and enterprise analytics solutions. Required Skills
4–12 years of hands-on Data Engineering experience. Strong expertise in AWS Glue, S3, Redshift, and Lambda. Robust programming skills in Python/Py Spark. Hands-on experience with Snowflake. Strong understanding of ETL/ELT and data pipeline development. Good understanding of data warehousing and cloud-native data architectures. Strong analytical, problem-solving, and communication skills.

📌 Aws data engineer (Hyderabad)
🏢 ValueMomentum
📍 Hyderabad