Senior Data Cloud Engineer – Databricks & Azure + JAVA Job 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 strong 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

1. Databricks REST API – MUST
2. Databricks SDK (Python/Java) – MUST
3. 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 Requirements Databricks

- Strong hands-on experience with Databricks REST API .

- Strong experience with Databricks SDK using Python or Java .

- Hands-on experience with Databricks CLI .

- Strong understanding of

- Databricks Jobs API

- Clusters API

- Workspace API

- SQL Execution API

- Unity Catalog API

- Delta Sharing API
- Experience managing Databricks Jobs, Workflows, Clusters, Repos, and Workspace resources.
- Experience automating Databricks deployment and administration.

Azure Data Engineering

- 4+ years of strong experience in Azure Data Engineering and Databricks .

- Hands-on experience developing Azure Data Factory pipelines .

- Strong understanding of cloud-based data ingestion and transformation.
- Experience designing and implementing scalable cloud data engineering workloads.
- Microsoft Azure cloud deployment experience is preferred.

Java / Microservices

- Experience developing Java/Spring Boot microservices .

- Strong experience developing REST APIs .





- Experience integrating enterprise applications with Databricks through APIs and microservices.
- Ability to develop scalable and maintainable API-driven solutions.

API Security Strong understanding of API and cloud security concepts, including:

- OAuth 2.0
- IDP / Identity Providers
- JWT
- Service Principals
- RBAC
- Secrets Management

Required Qualifications & Experience

- 4–6 years of overall experience in cloud data engineering and transformation.
- 4+ years of strong experience in Azure Data Engineering and Databricks .

- Mandatory hands-on experience with:

- Databricks REST API
- Databricks SDK – Python/Java

- Databricks CLI
- Experience integrating Databricks with enterprise applications through APIs and microservices.
- Strong knowledge of Databricks APIs and automation.
- Experience developing Java/Spring Boot microservices and REST APIs .

- Experience with Azure Data Factory and cloud data pipelines.
- Experience with application self-healing and automated operational solutions is preferred.
- Bachelor's degree in Computer Science, Information Technology, Engineering, Computer/Telecommunication Engineering , or an equivalent discipline.

Preferred Candidate Profile The ideal candidate should be a hands-on Azure + Databricks engineer who combines robust data engineering capabilities with API development and automation expertise. Candidates without hands-on experience in Databricks REST API, Databricks SDK, and Databricks CLI should not be considered

, as these are mandatory skills for the role.

Compensation & Joining Details

- Budget:

Up to ₹27 LPA

- Location:

Bangalore

- Experience: 4–6 Years

- Notice Period:

Immediate to 30 Days

📌 Data Cloud Engineer (Bangalore Metropolitan Area)
🏢 Hawk Sense Business Solutions(formerly known as Hawk Sense Security Systems
📍 Bangalore Metropolitan Area