Technical Lead
HCLTech
We are looking for a strong Azure Data Engineer with hands-on experience building scalable enterprise data solutions on Microsoft Azure, along with exposure to Azure AI/GenAI.
Key Responsibilities
Experience: 4+ years Primary Requirement: Candidate must be a hands-on Azure Data Engineer. AI/GenAI is a secondary skill; we are not looking for a pure AI/ML profile. Good to Have: Microsoft Fabric, Delta Live Tables, Terraform, Power BI and relevant Microsoft Azure certifications. Vendor Screening Priority: Databricks + PySpark + ADF + ADLS/Synapse + SQL/Python should form the core skill set. Azure AI Foundry/Azure OpenAI/Agentic AI exposure is an added advantage. Skill Requirements Primary Skills – Azure Data Engineering (75–80%)
- Azure Databricks & PySpark
- Azure Data Factory (ADF)
- Azure Synapse Analytics
- Microsoft Fabric
- ADLS Gen2
- SQL & Python
- ETL/ELT & Data Modelling
- Delta Lake / Lakehouse architecture
- Data Governance with Microsoft Purview
- CI/CD & Azure security fundamentals
Secondary Skills – Azure AI / GenAI (20–25%)
- Azure AI Foundry
- Azure OpenAI
- AI Agents / Agentic AI concepts
- RAG architectures
- Prompt Engineering
- Embeddings & Vector Search
- Azure AI Search
- Function / Tool Calling
- Integration of GenAI with enterprise data platforms
Other Requirements
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