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Data Engineering Opportunities

3 weeks ago

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Key Responsibilities for a Data Engineer:

The ideal candidate will play a vital role in developing scalable data pipelines to support the organization's growth. This involves designing and implementing data architectures that cater to increasing data complexity and volume.

  • Data Pipeline Development: Develops and maintains efficient data pipelines, ensuring seamless data flow and minimal latency.
  • Collaboration with Analytics Teams: Collaborates closely with analytics teams to enhance data models, improve data accessibility, and facilitate data-driven decision making across the organization.
  • Data Quality Assurance: Establishes processes to monitor and ensure high-quality data, guaranteeing accuracy and availability for stakeholders and business processes reliant on it.
  • Test-Driven Development and Documentation: Contributes to engineering wiki, documents work, and writes unit/integration tests to ensure robustness and maintainability of the codebase.
  • Data Analysis and Troubleshooting: Performs thorough data analysis to identify and resolve data-related issues, enhancing overall data quality and integrity.
  • Team Collaboration: Works collaboratively with frontend and backend engineers, product managers, and analysts to achieve shared goals and objectives.