AWS Data Engineer

• DynamoDB Alchemy
• 4.2 Juno Beach, FL Job Details Contract $60
• $65 an hour 11 hours ago Qualifications AWS IAM Cloud identity and access management (IAM) Commercial use (data warehousing systems) Data Integration (Data management) Continuous Delivery (CD) implementation Tooling Infrastructure as Code (IaC) Spark Git Schema design SQL ETL process automation Spark implementation AWS Glue Improving database performance Terraform IT S3 Amazon CloudWatch API testing Serverless cloud services Cloud automation DynamoDB DevOps automation Data performance optimization Amazon Kinesis Postman (API platform) Python AWS Lambda Full Job Description 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.

Pay:

$60.00

• $65.

00 per hour

Experience:

IT/Data Engineering:

10 years (Required)

DynamoDB:

4 years (Required)

Python and PySpark:

4 years (Preferred)

Work Location:

In person