Data Archive

Data Engineer

The primary responsibility of a data engineer is to take data from its source and make it available for analysis. They focus on

  • automating the data collection,
  • processing,
  • and analysis workflows,
  • solving how systems manage and handle the flow of data.

Develops data pipelines and ensures data flow between systems.

Resources:

Key Responsibilities:

  1. Infrastructure Design and Maintenance:
    Data engineers design, build, and maintain the necessary infrastructure to collect, process, and store large amounts of data. This infrastructure is crucial for ensuring data is accessible and usable for analysis and reporting.

  2. Data Pipeline:

  3. Support Role:
    Data engineers act as a bridge between data producers and consumers, ensuring smooth and reliable data flow. They support business operations through scalable and efficient Data Management solutions, contributing indirectly to product delivery and decision-making.

Core Activities:

What engineers do & interact with: see Data Engineering Portal

Stakeholders they interact with see Data Roles

Tools they use: Data Engineering Tools

Tasks They Are Usually Given

  • Project Management: Tracking tasks, bugs, and progress through Azure Boards.
  • Collaboration: Facilitating teamwork with shared repositories and continuous integration workflows.
  • Continuous Learning: Keeping up-to-date with the latest technologies and updating pipelines due to obsolescence of tech
  • Documentation & Meetings and Security: Creating documentation, implementing security measures, and exploring system upgrades for enhanced efficiency.

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