AWS Data Engineer
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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.
Job ID: 152911319
Skills:
Pyspark, Deduplication, Sql, Terraform, Spark, Python, cdc, historical processing, Lakehouse Medallion architecture, incremental processing, AWS data services, SCD Type 2
Skills:
S3, RDS, Csv, Pyspark, Dynamodb, AWS Glue, Json, Sql, Ec2, Cloudwatch, Terraform, Amazon Redshift, AWS, Apache Iceberg, Parquet, Secrets Manager, Snappy compression, ASG, ALB
Skills:
Sql, Aws Redshift, cloud computing concepts, data modeling and schema design, AWS ecosystem, data warehousing concepts and best practices, ETL ELT processes
Skills:
Spark, Apache Nifi, Java, Dynamodb, Lambda, Cloudwatch, Sqs, Scala, PostgreSQL, S3, Splunk, AWS Glue, Pytest, Pyspark, Gitlab, AWS, Python, Redshift, Lake Formation, AWS Sagemaker, Jupyter Notebooks, Eventbridge, Boto3, AWS CodeBuild, Athena, AWS ECR, AWS CodeCommit, Step Functions, Aurora, AWS Code Pipeline, Iceberg
Skills:
Sql, Aws Services, Python, Etl Development, Pyspark, Data Modeling
