Jobs → Data & Analytics → AWS Data Engineer

About the Role We are looking for a Data Engineer with expertise in AWS services, particularly DynamoDB, to join our team. This role involves building and maintaining production data pipelines. Key Responsibilities • Develop and maintain production data pipelines using AWS services • Implement ETL processes using Python and PySpark • Optimize DynamoDB data models and performance • Orchestrate workflows using AWS Glue, Step Functions, and other AWS tools • Collaborate with teams to ensure data integrity and efficiency Requirements • Expert level proficiency in Python for data processing and ETL development • Deep experience with AWS Glue, including job development and workflow orchestration • Strong expertise in DynamoDB data modeling, capacity planning, and performance optimization • Solid understanding of AWS ecosystem: S3, Lambda, Step Functions, CloudWatch, IAM, KMS, Kinesis • Proficiency with Postman for API development and testing • Strong SQL skills and understanding of data warehousing principles • Experience with version control (Git), CI/CD tools, and infrastructure as code (CloudFormation/Terraform)