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AWS Data Engineer_DynamoDB_Juno Beach, Florida_Onsite_Need Local_No relocation_F2F Interview
Job Description
Hands-on data engineering experience with a 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 the 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). Knowledge of AI tools