Hiring for Azure Data Engineer_Pune
Deep hands-on experience with Azure Cosmos DB – including data modeling, indexing, partitioning, consistency levels, and performance tuning.
2. Strong understanding of Cosmos DB APIs (Core SQL API, MongoDB API, etc.) and integration patterns.
3. Proficiency in query optimization and troubleshooting Cosmos DB performance issues.
4. Experience in data processing using PySpark and Python.
5. Familiarity with Microsoft Fabric for data engineering and analytics workflows.
6. Proficient using source code management tools such as Git or GitHub
7. Experience with Test Driven Development and / or Behavior Driven Development.
