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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

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