✨ About The Role
- The Senior Data Engineer will be responsible for scalable data, pipeline, and backend services with challenging geographic data algorithms.
- Participation in the end-to-end development cycle, including architecture, design, development, QA, deployment, and monitoring, is expected.
- The role involves working with talented engineers and a broad forum of experts and stakeholders to create a stable and scalable product.
- Building highly scalable, efficient, and available data pipelines and solutions to serve data across the organization is a key responsibility.
- Monitoring data quality and proactively correcting discrepancies to ensure data reliability and accuracy is crucial.
âš¡ Requirements
- The ideal candidate is passionate about data and has the ability to translate business needs into effective data models.
- A self-driven learner who is comfortable working independently in a complex technological environment is essential for success in this role.
- Technological curiosity is important, as the candidate should be capable of identifying needs, designing proofs of concept, and implementing scalable solutions.
- A minimum of 4+ years of experience as a Data Engineer or BI developer is required.
- Proficiency in Python and SQL for at least 4+ years is a must-have for this position.