Job Description

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 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 : 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 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/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. • Solid analytical, problem-solving, and communication skills.

📌 AWS Data Engineer (Hyderabad)
🏢 ValueMomentum
📍 Hyderabad