AWS Data Engineer

Capco

India - Bengaluru permanent

Posted: May 6, 2026

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Quick Summary

Design, develop, test, deploy, and maintain large-scale data pipelines on a native AWS cloud deployment using native AWS services most likely AWS Glue, AWS Data Migration Service.

Required Skills

AWS Data Engineering Data Pipelines AWS Glue Spark Pyspark Python SQL S3 RDS DynamoDB AWS Data Migration Service

Job Description

AWS DATA ENGINEER

Job Description

• Design, develop, test, deploy, and maintain large-scale data pipelines on a native AWS cloud deployment using native AWS services most likely AWS Glue, AWS Data Migration Service.

• Must have prior experience of data engineering on the AWS platform.

• Good Understanding of Spark/Pyspark/ Python/ SQL.

• Experience of working with AWS data stores including S3, AWS, RDS, DynamoDB, AWS Data Lake. Will have used these technologies in previously executed projects.

• Should have good understanding of AWS Services like Redshift, Kinesis Streaming, Glue, Iceberg, Lambda, Athena, S3, EC2, SQS, SNS.

• Should understand monitoring and observability toolsets i.e. CloudWatch, Tivoli Netcool.

• Basic AWS networking understanding: VPC, SG, Subnets, load Balancers.

• Collaborate with cross-functional teams to gather technical requirements and deliver high-quality ETL solutions.

• Strong AWS development experience for data ETL/pipeline/integration/automation work.

• Should have a deep understanding of Data & Analytics Solution development lifecycle.

• Strong knowledge on CI/CD, Jenkins, able to write testing scripts and automate as much as possible.

• IaC Terraform or CloudFormation

• Basic containers undersanding

• Bitbucket/Git

• Experience of working in an agile/scrum team.

• Experience in Private Bank/Wealth Management domain.

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