AWS Data Engineer

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.

• Strong analytical, problem-solving, and communication skills.