Jobs → Data & Analytics → AWS Data Engineer

About the Role We are seeking an AWS Data Engineer to build scalable production data pipelines and implement high-performance DynamoDB solutions. Key Responsibilities • Build scalable production data pipelines • Orchestrate complex ETL workflows using AWS Glue and PySpark • Implement high-performance DynamoDB data modeling and storage solutions Requirements • 8+ years of hands-on data engineering experience • Expert-level proficiency in Python and PySpark • 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, and Kinesis • Strong SQL skills and data warehousing principles • Proficiency with Postman for API development • Experience with Git, CI/CD tools, and Infrastructure as Code Benefits • Long-term contract opportunity