8. QUALIFICATIONS & EXPERIENCE:

Minimum Qualification

- Overall, 4-6 years of experience in data engineering and transformation on Cloud
- 4+ Years of Very Strong Experience in Azure Data Engineering, Databricks
- Hands-on experience with Databricks REST API, Databricks SDK (Python/Java), and Databricks CLI.
- Experience integrating Databricks with enterprise applications through APIs and microservices.
- Robust understanding of Databricks Jobs API, Clusters API, Workspace API, SQL Execution API, Unity Catalog API, and Delta Sharing API.
- Experience automating Databricks administration, deployment, and operational activities.
- Knowledge of API security standards including OAuth2, IDP, JWT, Service Principals, RBAC, and Secrets Management.
- Experience developing Java/Spring Boot Micro services.
- Candidate must possess at least a Graduate or bachelor’s degree in computer science/information technology, Engineering (Computer/Telecommunication) or equivalent.
- Cloud deployment: Preferably Microsoft azure
- Experience in implement application self-healing solutions through proactive and reactive automated measures

Skills: Databricks , Azure , Java/Spring Boot

📌 Senior Cloud Data Engineer (Bengaluru)
🏢 Dicetek
📍 Bengaluru