Role Overview

We are hiring an experienced Azure Databricks Engineer to design, build, and optimize modern data platforms covering real-time streaming, Delta Lake architecture, and Generative AI-driven analytics. The role requires end-to-end ownership of data engineering deliverables, from pipeline development to production support, while collaborating closely with business and analytics stakeholders.

Key Skills

Azure Databricks | Delta Lake | Delta Table Streaming | PySpark | Unity Catalog | Medallion Architecture | Azure Data Factory | Gen AI (LLM, RAG)

Must-Have Skills

- Robust hands-on Databricks expertise — PySpark/SQL, Workflows/Jobs orchestration, Delta Lake, Unity Catalog

- Working knowledge of Azure Data Factory

- Experience with Lakeflow (Declarative Pipelines/Connect)



including CDC and data quality validations

- Exposure to Databricks AI/BI or Genie (semantic layers, certified datasets)

- Familiarity with CI/CD and version control (Git, Databricks Repos/Asset Bundles)

- Demonstrated ability to own deliverables fully and resolve issues independently

- Strong communication skills for working with business/analytics stakeholders

Eligibility

- 5–10 years of relevant data engineering experience

- Valid passport with minimum 1 year validity is mandatory

- Willingness to be based at any of the listed locations

Skills: architecture,azure,data engineering

📌 Azure Databricks Engineer (Bhopal)
🏢 Durapid Technologies Private
📍 Bhopal