Data Engineer IV, Day Shift, Information Technology

4 weeks ago


Gaithersburg, Maryland, United States Adventist HealthCare Full time
Job Summary

Adventist HealthCare seeks a highly skilled Data Engineer IV to lead the creation and support of ETL processes, data warehouse table schemas, and data visualizations. The ideal candidate will have 7+ years of experience in warehousing architecture techniques, ETL development, and data integration.

Key Responsibilities:

  • Lead the creation and support of ETL processes to facilitate data onboarding and distribution.
  • Design and develop physical and virtual data warehouse table schemas, databases, and data marts.
  • Develop and maintain informative and actionable data visualizations and reports.
  • Lead all service operational tasks, including database setup, maintenance, configuration, programming, troubleshooting, debugging, testing, and fulfilling support requests.
  • Optimize data integration platform for optimal performance under increasing data volumes.
  • Prepare and maintain comprehensive understanding of data warehousing and ETL application lifecycle, technical architecture, data, configuration, and operational support requirements.
  • Provide expertise in design and development of best practices for big data stacking, data warehousing, data lake, ETL architecture, data federation, virtualization, data modeling procedures, data visualization, and workflows.

Requirements:

  • Bachelor's degree in computer science, information technology, or related field.
  • 7+ years of experience in warehousing architecture techniques, ETL development, and data integration.
  • Experience working on cloud-based environments, such as AWS or Azure.
  • Experience working on large-scale data warehouses and related technologies.
  • Experience in metadata management and related tools.
  • Advanced knowledge of database security, integrity, backup and recovery, and performance monitoring standards.
  • 3 years of supervisory experience.
  • Preferred Cloud-Data Warehouse certification or ETL Certification or Data Visualization.


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