ValueMomentum Job Locations: Hyderabad | Pune | Coimbatore Experience: 4–12 Years Work Mode: Work From Office – 5 Days About the Role ValueMomentum 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 up-to-date 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: PySpark, 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 PySpark/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 contemporary 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.
Solid programming skills in Python/PySpark.
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 (India)
🏢 ValueMomentum
📍 India