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Data Cloud Engineer

2 weeks ago

Gurgaon, Haryana, India beBeeCloud Full time ₹ 20,00,000 - ₹ 30,00,000

Job Title: Platform Engineer

About This Role

We are seeking an experienced Platform Engineer to join our team. In this role, you will be responsible for managing and supporting our Databricks environments across both AWS and Azure.

This is a fantastic opportunity to work with a talented team and contribute to the development of our data platform.

Key Responsibilities
  • Manage Databricks Platform : Configure and manage Databricks workspaces to ensure optimal performance and resource utilization.
  • Data Governance with Unity Catalog : Implement and oversee Databricks Unity Catalog to effectively organize, govern, and manage data assets, ensuring data quality and discoverability.
  • Access Control & Security : Set up and manage Role-Based Access Control (RBAC) to define granular user and group permissions within Databricks.
  • Integrate with Azure Active Directory (AD) groups for streamlined identity management.
  • Automation & API Integration : Leverage Databricks APIs and Service Principals to automate routine tasks, build custom integrations, and ensure secure programmatic access to the platform.
  • Networking & Cloud Connectivity : Configure and troubleshoot network connectivity (NCC) for Databricks on both AWS and Azure, ensuring seamless data flow and secure communication.
  • System Monitoring : Monitor Databricks systems and integrated cloud services for performance, availability, and potential issues, proactively addressing any anomalies.
  • Scripting & Automation : Write robust automation scripts using Python and PowerShell to streamline operational tasks and enhance platform efficiency.
  • Infrastructure as Code (IaC) : Utilize Terraform to define, provision, and manage infrastructure components for Databricks environments, ensuring consistency and repeatability.
  • DevOps & CI/CD : Build, maintain, and optimize deployment pipelines using Azure DevOps to facilitate continuous integration and continuous deployment of platform configurations and applications.
  • Testing : Develop and implement unit tests and integration tests using Pytest to ensure the quality, reliability, and stability of platform code and configurations.
Requirements
  • Proven experience as a Platform Engineer or similar role, with a strong focus on Databricks environments.
  • Hands-on expertise with Databricks Unity Catalog.
  • Solid understanding and practical experience with access controls (RBAC), Databricks APIs, and Service Principals.
  • Experience integrating with Azure Active Directory (AD) groups.
  • Proficiency in configuring and troubleshooting network connectivity (NCC) on both AWS and Azure.
  • Strong scripting skills in Python and PowerShell.
  • In-depth experience with Terraform for Infrastructure as Code.
  • Demonstrated ability to build and manage deployment pipelines using Azure DevOps.
  • Experience in writing unit tests and integration tests using Pytest.
  • Familiarity with monitoring tools and best practices for cloud platforms.
Benefits

This role offers a competitive salary and benefits package, as well as opportunities for professional growth and development.

You will have the chance to work with a talented team and contribute to the development of our data platform.