Data Engineer (Databricks + Python + Azure)

• Evaluate emerging technologies and make recommendations for adoption where appropriate. • Proficiency in modern development frameworks and a solid understanding of software architecture patterns. • Define and execute on a strategic roadmap that balances short-term delivery with long-term platform health. • Professional development budget and access to industry conferences and training. • Collaborate with cross-functional teams to deliver high-impact solutions aligned with business objectives. • Experience with cloud infrastructure, CI/CD pipelines, and automated deployment workflows. • Contribute to architectural decisions and technical documentation for key systems. • Build scalable data pipelines and integrate third-party services into existing platform architecture.