AWS Data Engineer (10737-1) San Francisco, CA

ETL Development: Implement and manage ETL processes using AWS Glue and EMR for both batch and streaming data Data Storage Solutions: Design and maintain storage solutions using Medallion Architecture in S3 and Redshift Workflow Orchestration: Monitor and optimize data workflows using Airflow or other orchestration tools Data Quality: Ensure accuracy, consistency, and integrity throughout the data lifecycle CI/CD: Implement and understand CI/CD practices for automated data pipeline deployment System Monitoring: Utilize CloudWatch and Datadog for performance monitoring and reliability Collaboration: Work closely with cross-functional teams to gather requirements and deliver business-driven data solutions Communication: Strong ability to communicate project updates and technical details to stakeholders. Additional Notes

Amazon Web Services (AWS), Amazon Web Services (AWS), Information Technology & Information Systems, Cloud Computing, Python Programming/Scripting Language, Data Management, Scalable System Development, Database Extract Transform and Load (ETL), Electronic Medical Records, Process Management, Experience level: Mid-senior Experience required: 7 Years Education level: Bachelor’s degree Job function: Information Technology Industry: Information Technology and Services Pay rate : View hourly payrate Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Job Description:

7+ years of experience in Amazon Web Services (AWS) Cloud Computing Strong background in designing, developing, and maintaining scalable data pipelines for ingestion and processing using Python, Spark, and AWS services Key Skills & Expertise

ESR Healthcare