Jobs → Data & Analytics → AWS Data Engineer

About the Role We are actively looking for an experienced AWS Data Engineer with strong DynamoDB expertise for an onsite contract opportunity. Key Responsibilities • Build and manage production data pipelines • Develop and implement ETL processes using Python • Develop and manage AWS Glue jobs, crawlers, triggers, and workflow orchestration • Design and optimize Amazon DynamoDB data models and performance • Utilize AWS ecosystem services including S3, Lambda, Step Functions, CloudWatch, IAM, KMS, and Kinesis • Develop and test APIs using Postman • Apply strong SQL skills and data warehousing concepts • Implement CI/CD pipelines and Infrastructure as Code • Explore AI tools for data engineering applications Requirements • Strong hands-on experience in data engineering • Expert-level proficiency in Python for data processing, ETL development, automation, and PySpark • Extensive experience with AWS Glue • Mandatory expertise in Amazon DynamoDB • Strong understanding of the AWS ecosystem • Proficiency in Postman for API development • Strong SQL skills and understanding of data warehousing concepts • Experience with Git, CI/CD pipelines, and Infrastructure as Code • Familiarity with AI tools and their applications in data engineering