Senior Data Cloud Engineer – Databricks & Azure + JAVAJob Details
Role: Senior Data Cloud Engineer
Experience: 4–6 Years
Location: Bangalore
Notice Period: Immediate to 30 Days
Budget: Up to ₹27 LPA
Work Mode: As per business requirement
Role Overview
We are looking for a Senior Data Cloud Engineer with 4–6 years of solid experience in Azure Data Engineering and Databricks. The ideal candidate should have hands-on expertise in Databricks REST APIs, Databricks SDK (Python/Java), and Databricks CLI, along with strong experience in developing Java/Spring Boot microservices and REST APIs.
The candidate will be responsible for designing and developing API-driven Databricks integrations, automating Databricks administration and deployments, and building scalable cloud data engineering solutions.
Top 3 Mandatory Skills
Databricks REST API – MUST
Databricks SDK (Python/Java) – MUST
Databricks CLI – MUST
Key Responsibilities
Design and develop integrations using Databricks REST APIs, SDKs, and automation frameworks.
Create and manage Databricks Jobs, Workflows, Clusters,



Repos, Unity Catalog, and Workspace resources through APIs.
Develop API-driven solutions for orchestrating Databricks notebooks, jobs, and streaming pipelines.
Integrate Databricks with enterprise applications, microservices, and external platforms using REST APIs.
Understand business requirements related to data ingestion and cloud data engineering.
Work with data modelers to translate business requirements into cloud/on-premise data engineering solutions.
Develop and maintain Databricks and Azure Data Factory (ADF) pipelines.
Automate Databricks administration, deployment, monitoring, and operational activities.
Develop scalable and reusable data engineering solutions on Microsoft Azure.
Implement proactive and reactive application self-healing solutions through automation.
Collaborate with development, data, architecture, and business teams to deliver high-quality solutions.
Technical RequirementsDatabri

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