Jobs → Data & Analytics → AWS Data Engineer with DynamoDB

About the Role We are looking for an experienced AWS Data Engineer with DynamoDB expertise to join our team. This role requires hands-on experience in building production data pipelines and working with the AWS ecosystem. Key Responsibilities • Build and maintain production data pipelines • Develop ETL processes using Python and PySpark • Work with AWS Glue for job development, crawlers, and workflow orchestration • Design and optimize DynamoDB data models and performance • Utilize AWS services including S3, Lambda, Step Functions, and Kinesis • Develop and test APIs using Postman • Implement CI/CD pipelines and infrastructure as code Requirements • 10+ years of experience in data engineering • Expert-level proficiency in Python for data processing and automation • Deep experience with AWS Glue and DynamoDB • Strong understanding of AWS ecosystem services • Solid SQL skills and data warehousing principles • Experience with version control, CI/CD tools, and infrastructure as code • Knowledge of AI tools