Exp - 6 to 10 Years

Skills Required

Primary Skills

DatabricksAzure CloudDelta LakeUnity CatalogSparkAzure DevOpsGitHub

Experience: 5+ years

Shift time: 2 PM - 11 PM IST

Location: Bangalore/Hyderabad

Tech Stack

Databricks,

Azure Cloud,

Delta Lake,

Unity Catalog,

Spark,

Azure DevOps,

GitHub,

Key Responsibilities

Support architecture and operational engineering across enterprise Databricks settings.

Design and maintain scalable Lakehouse, Delta Lake, and Unity Catalog solutions.

Optimize Spark workloads, cluster configurations, and platform performance.

Support integration of Databricks platforms with Azure-native ecosystems and enterprise applications.

Collaborate with platform and DevOps teams to align Databricks activities with existing CI/CD and automation standards.

Support governance, access management, monitoring, logging, and operational security practices.





Required Skills

6+ years of experience within cloud, platform engineering, data engineering, or enterprise analytics ecosystems.

3+ years of hands-on experience supporting enterprise Databricks environments.

Solid experience with Delta Lake, Unity Catalog, Spark workloads, and cluster operations.

Experience with Azure cloud services and cloud-native platform concepts.

Familiarity with Azure DevOps, GitHub workflows, and CI/CD pipeline concepts

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Databricks Platform Engineer Azure Cloud & Data Operations Noida
🏢 Sparix Global
📍 Noida