AWS Data Engineer
Deepak NegiUnited StatesSENIORPosted 13d ago
PythonPySparkETL developmentAWS GlueDynamoDBAWS S3LambdaStep FunctionsCloudWatchIAMKMSKinesisPostmanSQLGitCI/CD pipelinesTerraformCloudFormationAI tools
About the Role
We are looking for an experienced AWS Data Engineer with strong hands-on expertise in DynamoDB to build, optimize, and maintain production-grade data pipelines and AWS data solutions.
Key Responsibilities
• Build, optimize, and maintain production-grade data pipelines
• Develop and implement AWS data solutions
• Ensure data integrity and performance optimization
Requirements
• Strong data engineering experience building production data pipelines
• Expert-level proficiency in Python, PySpark, ETL development, and automation
• Extensive experience with AWS Glue, including jobs, crawlers, triggers, and workflow orchestration
• Strong expertise in DynamoDB data modeling, capacity planning, DynamoDB Streams, and performance optimization
• Hands-on experience with AWS S3, Lambda, Step Functions, CloudWatch, IAM, KMS, and Kinesis
• Proficiency in Postman for API development and testing
• Strong SQL skills and data warehousing knowledge
• Experience with Git, CI/CD pipelines, and Infrastructure as Code (Terraform/CloudFormation)
• Knowledge of AI tools and their practical applications
• Must be local to Juno Beach, Florida, or the surrounding area
• Day 1 onsite is mandatory
• No relocation candidates
• Face-to-face interview is required