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

ESRhealthcare and EXEC STAFF RECRUITERS
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AWS Data Engineer (10737-1) San Francisco, CA ESRhealthcare and EXEC STAFF RECRUITERS | Career Page

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

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Job Description

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

AWS Data Engineer, Python, Spark, AWS Services, ETL, Glue, EMR, S3, Redshift, Airflow, Data Quality, CI/CD

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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

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

Please submit the candidate's resume in PDF format.

Please remove the candidate's LinkedIn URL from the resume; otherwise, the profile will not be considered.

Working Place

San Francisco, California, United States

Company

ESR Healthcare

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Skills

  • AWS
  • Python
  • Spark
  • ETL
  • AWS Glue
  • EMR
  • S3
  • Redshift
  • Airflow
  • AWS CloudWatch
  • Datadog

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