AWS Data Engineer_DynamoDB_Juno Beach, Florida_Onsite_Need Local_No relocation_F2F Interview
Why this role stands out
This hybrid role offers a fantastic opportunity to leverage your deep expertise in AWS services like DynamoDB and Glue, building critical data pipelines within a reputable company. You'll thrive here if you're a seasoned data engineer passionate about Python, data modeling, and cloud-native solutions, eager to contribute to impactful projects. Don't miss out on this chance to grow your skills and make a significant impact!
Quick overview
Job description
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
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