Alchemy is seeking an experienced AWS Data Engineer with deep, hands-on capability across Python, PySpark, AWS Glue, and DynamoDB. This onsite role in Juno Beach focuses on building and optimizing production-grade data pipelines, including ETL development and DynamoDB performance and modeling.
Key Responsibilities
- Build and maintain scalable production data pipelines using Python and PySpark.
- Develop ETL jobs, crawlers, triggers, and workflows with AWS Glue.
- Design and optimize DynamoDB data models, including capacity, streams, and performance.
- Collaborate across AWS services such as S3, Lambda, Step Functions, CloudWatch, IAM, KMS, and Kinesis.
- Use Postman for API testing and team collaboration.
- Write complex SQL and apply data warehousing principles.
- Apply Git, CI/CD pipelines, and Infrastructure as Code tooling such as CloudFormation or Terraform.
- Leverage AI tools to support development, automation, and productivity improvements.
Requirements
- 10+ years of relevant IT and data engineering experience.
- Strong, hands-on experience with Python/PySpark, AWS Glue, and DynamoDB.
- Proven experience delivering production data pipelines.
Technical Skills
Python, PySpark, AWS Glue, DynamoDB, ETL, S3, Lambda, Step Functions, CloudWatch, IAM, KMS, Kinesis, Postman, SQL, Git, CI/CD, Infrastructure as Code, CloudFormation, Terraform.
Compensation
USD 60.00 to 65.00 per hour.
Experience Expectations
- IT/Data Engineering: 10 years (Required)
- DynamoDB: 4 years (Required)
- Python and PySpark: 4 years (Preferred)
Work Location
In person in Juno Beach, FL.
