AWS Data Engineer – DynamoDB

We are seeking an experienced AWS Data Engineer with strong hands-on expertise in Python, PySpark, AWS Glue, and DynamoDB to build, optimize, and maintain production-grade data pipelines. The ideal candidate will have deep knowledge of AWS services, ETL development, database optimization, API testing, and data warehousing. *Key Responsibilities & Required Skills*

• Build and maintain scalable production data pipelines using Python and PySpark.
• Develop ETL jobs, crawlers, triggers, and workflows using AWS Glue.
• Design and optimize DynamoDB data models, capacity, streams, and performance.
• Work with AWS services including S3, Lambda, Step Functions, CloudWatch, IAM, KMS, and Kinesis.
• Use Postman for API testing and collaboration.
• Write complex SQL queries and apply data warehousing principles.
• Use Git, CI/CD pipelines, and Infrastructure as Code tools such as CloudFormation or Terraform.
• Leverage AI tools to improve development, automation, and productivity.

*Mandatory Requirements*

• 10+ years of relevant IT/data engineering experience.
• Strong hands-on experience with Python/PySpark, AWS Glue, and DynamoDB.
• Proven experience building production data pipelines.