Sr AWS Data Engineer - Serverless

Job Title: Sr AWS Data Engineer - Serverless Location: Denver, CO / St. Louis, MO / North Carolina (Hybrid) Employment Type: 6 months Contract-to-Hire Work Authorization: GC or US Citizen - W2 Job Summary: We are seeking an experienced AWS Cloud Developer to design, build, and deploy scalable cloud-native applications using AWS serverless technologies. The ideal candidate will have hands-on experience with AWS Lambda, EventBridge, Step Functions, and data engineering using AWS Glue, along with expertise in building ETL pipelines and managing data lakes/warehouses. Key Responsibilities: • Develop, deploy, and maintain serverless applications on AWS using Lambda, API Gateway, and other AWS services. • Design event-driven architectures using Amazon EventBridge, SQS, and SNS. • Orchestrate workflows using AWS Step Functions for complex business processes. • Build and manage ETL pipelines using AWS Glue, leveraging PySpark or Scala scripts for data transformation. • Implement and maintain RESTful APIs for various applications. • Ensure high availability, scalability, and resiliency in cloud-native applications. • Monitor and troubleshoot applications using CloudWatch and other monitoring tools. • Collaborate with cross-functional teams to gather requirements and deliver solutions. • Implement CI/CD pipelines using Jenkins, GitLab CI/CD, or AWS CodePipeline/CodeBuild. • Follow best practices for version control, coding standards, and cloud security. Skills Need: AWS Serverless: Lambda (Node.js, Python, Java), API Gateway, Step Functions, EventBridge, SQS, SNS Data Engineering: AWS Glue, PySpark, Scala, S3, Redshift, Athena Databases / Storage: DynamoDB, RDS, S3, Data Lakes / Warehousing Infrastructure as Code: CloudFormation, Terraform CI/CD & DevOps: Jenkins, GitLab CI/CD, AWS CodePipeline / CodeBuild API Development: RESTful API design and implementation Version Control: Git Monitoring & Debugging: CloudWatch, Log Analysis, Troubleshooting