CSpring

Data Engineer

• Design, implement, and maintain reliable Azure-based data pipelines that support analytics, AI/ML, and enterprise integration use cases.
• Actively contribute code across the data platform — developing pipelines, writing transformations, optimizing SQL, and supporting production workloads.
• Own specific areas of the data platform (pipelines, datasets, transformations, or integrations), ensuring quality, performance, and maintainability.
• Apply established patterns, frameworks, and standards when building data solutions, helping reinforce consistency and quality across the platform.
• Work closely with data engineers, analysts, product owners, and stakeholders to translate business requirements into effective technical solutions.
• Stay informed on Azure data services and evolving platform capabilities, applying new tools or approaches when appropriate.
• Contribute to CI/CD practices, testing, monitoring, and operational readiness for data pipelines and downstream consumers.

Cloud Data Engineer