Posted on: 18/07/2025
Key Responsibilities :
- Administer, monitor, and optimize Azure Databricks environments and clusters.
- Implement and manage Unity Catalog for secure, centralized data governance across the Databricks workspace.
- Oversee and optimize Delta Lake storage layers to ensure efficient data management and performance.
- Develop, maintain, and troubleshoot CI/CD pipelines for Databricks deployments.
- Automate tasks using Python, Bash, and other scripting languages.
- Ensure adherence to enterprise-level security, compliance, and governance frameworks.
- Perform troubleshooting and performance tuning of Databricks clusters and related services.
- Collaborate with data engineers, data scientists, and platform teams to provide a reliable and efficient data platform.
- Prepare documentation, operational guidelines, and provide training to internal teams when necessary.
- Stay updated with the latest trends and updates in Azure and Databricks ecosystems.
Technical Skills Required :
- Cloud Platforms: Strong hands-on experience with Azure Databricks administration.
- Databricks Components: Deep knowledge of Unity Catalog, Delta Lake, and Databricks runtime configurations.
- Automation & Scripting: Proficiency in Python, Bash, and exposure to tools like Terraform (preferred).
- CI/CD Tools: Experience with Azure DevOps, GitHub Actions, or similar pipeline tools.
- Security & Governance: Familiarity with Azure RBAC, Key Vaults, data encryption, role-based access control, and compliance standards.
- Monitoring & Optimization: Experience with monitoring tools (Azure Monitor, Databricks logs, etc.) and tuning cluster performance.
- Version Control Systems: Git, Bitbucket, or equivalent platforms.
Preferred Qualifications :
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.
- Databricks Certified Associate Developer or Administrator (preferred).
- Microsoft Azure certifications (e.g. , Azure Administrator, Azure Data Engineer Associate) are a plus.
- Strong analytical, problem-solving, and debugging skills.
- Excellent communication and interpersonal skill
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Posted in
DevOps / SRE
Functional Area
Data Engineering
Job Code
1515363
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