We are looking for a Data Engineer with strong hands‑on experience in Python, FastAPI, and Azure‑based data platforms to design and build scalable, cloud‑native data pipelines supporting analytics, AI/ML, and GenAI use cases.Key ResponsibilitiesBuild and maintain cloud‑native data pipelines on Microsoft AzureDevelop ETL/ELT workflows using Python, Azure Data Factory (ADF), Databricks (PySpark)Build and maintain REST APIs using FastAPI for data and AI/ML consumption Design and optimize SQL Server data models for analytics and performancePrepare datasets for GenAI, ML training, embeddings, and vector workflowsWork with Azure AI Search for search, semantic search, and vector search use casesIntegrate data across Cosmos DB, Data Lake, Blob StorageEnsure data quality, security, logging, monitoring, and CI/CD best practicesCollaborate with Data Scientists, GenAI Engineers, and product teamsRequired SkillsPython (Data Engineering & Backend)FastAPI / REST API developmentAzure Data Factory (ADF)Azure Databricks (PySpark preferred)Azure Data Lake / Blob StorageSQL Server (advanced SQL & optimization)Azure Cosmos DB (Core SQL API, NoSQL data modeling)Azure AI Search (indexes, indexers, skillsets, vector & semantic search)Git / Version Control
Job Title
Data Engineer – Azure & GenAI Platforms