Description

• Hands on data engineering experience with proven track record of building production data pipelines
• Expert level proficiency in Python for data processing, ETL development, and automation (PySpark)
• Deep experience with AWS Glue including job development, crawlers, triggers, and workflow orchestration
• Strong expertise in DynamoDB data modeling, capacity planning, streams, and performance optimization
• Solid understanding of AWS ecosystem: S3, Lambda, Step Functions, CloudWatch, IAM, KMS, Kinesis
• Proficiency with Postman for API development, testing, and collaboration
• Strong SQL skills and understanding of data warehousing principles
• Experience with version control (Git), CI/CD tools, and infrastructure as code (CloudFormation/Terraform)

Key Skills

Education

Bachelor's degree