Aws data engineer

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. Strong 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.