Azure Data Engineer

🚀 Scope of responsibilities: Design and development of data pipelines and data processing solutions based on Azure Databricks and Python Build and maintenance of solutions on the Azure Data platform (Data Lake, Data Factory, Synapse) Creation, development, and management of Data Products (Unity Catalog) Collaboration with business stakeholders — gathering requirements and translating them into technical solutions Ensuring data quality, security, and compliance Integration of data solutions with other organizational systems Improving the performance, scalability, and cost-efficiency of solutions 🛠️ Requirements: Very good knowledge of: Azure Databricks Python Apache Spark Experience with Azure services: Data Lake (ADLS Gen2), Data Factory / Synapse Knowledge of APIs (REST or similar) Experience in ETL design and data modeling Basic understanding of data architecture Experience with CI/CD and Git Problem-solving skills and experience working in Agile methodologies Good communication skills (collaboration with business and technical teams) ➕ Nice to have: Experience with big data and streaming data processing Knowledge of Unity Catalog and data governance principles Experience with data visualization tools (e.g., Power BI) Knowledge of Databricks Asset Bundles Originally posted on Himalayas