Data Engineer

• Design, develop, and maintain ETL/ELT pipelines and workflows using Databricks
• Collaborate with cross-functional teams to understand data requirements and deliver high-quality datasets
• Build and manage data lake and data warehouse architectures to support analytics and reporting
• Optimize data workflows for performance, scalability, and cost efficiency
• Ensure data quality, consistency, and reliability across all data platforms
• Apply data governance and security standards, leveraging tools such as Unity Catalog
• Integrate Databricks with enterprise systems and tools (e.g., Delta Lake, MLflow, Power BI, Mosaik SDK, Agent Bricks)
• Monitor, test, and troubleshoot data pipelines to ensure production stability and performance
• Contribute to best practices in data engineering and participate in code reviews

Azure Databricks Data Engineer

Data Engineer, KDB

Data Engineer – Tosca