Senior Data Engineering Assistant, G7

Responsibilities

• Data Pipeline Management: Respond to requests for extract, transform, and load (ETL/ELT) work. Prepare design notes and decision support materials for the creation, optimization, and monitoring of data pipelines.
• Data Set Assembly: Assemble and curate data sets from multiple internal and external sources (environmental, geospatial, administrative, partner-provided).
• High-Volume Integration: Support the integration of more complex, high-volume, or streaming data sets needed by data engineers, data scientists, and application teams.
• Infrastructure Configuration: Provide input to the design, configuration, and documentation of data infrastructure components (data lakes, warehouses, integration services, workflow/orchestration tools, containerized services).
• Standards Compliance: Ensure that naming, metadata, and security conventions are applied consistently across all data operations.
• Cloud Management: Assist in the management of the organization’s cloud hosting subscriptions and respective cloud resources.

Requirements

Education

• A high school diploma or equivalent is required.

Work Experience

• A minimum of 10 years of experience in data engineering, data integration, data management, software development, database systems, or information management.
• Experience Reduction: The minimum years of relevant experience is reduced to eight (8) years for candidates who possess a first-level university degree or higher.
• Cloud Platforms: Professional experience with Azure or Amazon Web Services (AWS), including cloud resource management, is required.
• Systems: A strong foundation in Linux systems is required.

Skills

• Expertise in ETL/ELT processes and optimization.
• Proficiency in Azure or AWS cloud administration.
• Strong Linux system foundation.
• Data infrastructure management (Data Lakes/Warehouses).
• Familiarity with orchestration tools and containerized services.