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

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

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Working knowledge of Azure Data Factory

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Experience with Lakeflow (Declarative Pipelines/Connect)



including CDC and data quality validations

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

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

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Demonstrated ability to own deliverables fully and resolve issues independently

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Strong communication skills for working with business/analytics stakeholders

Eligibility

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5–10 years of relevant data engineering experience

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Valid passport with minimum 1 year validity is mandatory

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Willingness to be based at any of the listed locations

📌 Azure Databricks Engineer (Jaipur)
🏢 Durapid technologies
📍 Jaipur