AWS Data Engineer DynamoDB

Location

Juno Beach, Florida, United States

Salary

Not specified

Company

Akash pawar

Job description

### Role & Company / Project Overview We are looking for an experienced AWS Data Engineer with strong expertise in DynamoDB, Python, PySpark, and AWS data engineering services. The ideal candidate will have hands-on experience building and maintaining production-ready data pipelines, developing ETL solutions, and optimizing cloud-based data processing systems. ### Key Responsibilities & Daily Duties - Build, develop, and maintain production-grade data pipelines and ETL processes. - Develop data processing and automation solutions using Python and PySpark. - Design, develop, and optimize AWS Glue jobs, crawlers, triggers, and workflows. - Implement DynamoDB data models, capacity planning, streams, and performance optimization. - Work with AWS services including S3, Lambda, Step Functions, CloudWatch, IAM, KMS, and Kinesis. - Use Postman for API development, testing, and collaboration. - Write complex SQL queries and apply data warehousing principles. - Manage source code using Git and support CI/CD pipelines. - Implement infrastructure as code using CloudFormation or Terraform. ### Required Qualifications, Skills & Experience - Strong hands-on experience in AWS Data Engineering. - Expert-level proficiency in Python and PySpark. - Deep experience with AWS Glue and DynamoDB. - Knowledge of AWS cloud services and data pipeline orchestration. - Proficiency in Postman, SQL, Git, CI/CD, and infrastructure as code. - Strong troubleshooting, analytical, and problem-solving skills. ### Working Hours, Shifts & Location Details - Location: Juno Beach, FL - Work Mode: Onsite - Job Type: Contract ### Application Instructions Interested candidates can share their updated resumes with the recruiter. Please share this opportunity with your network and refer qualified candidates.