Databricks Cloud Infrastructure Manager
17 hours ago
Job Title: Databricks Cloud Infrastructure Manager
About the Role:
We are seeking a highly skilled Databricks Cloud Infrastructure Manager to join our team at Maneva Consulting Pvt. Ltd. As a key member of our infrastructure team, you will be responsible for managing and maintaining our Databricks environment on AWS, ensuring seamless operations and optimal performance.
Key Responsibilities:
- Manage and optimize Databricks clusters on AWS to meet evolving needs, including capacity planning.
- Integrate Azure DevOps or GitHub for robust CI/CD pipelines, including Delta Live Tables for real-time data processing.
- Automate deployment processes to enhance efficiency and reliability.
- Provide comprehensive support for ML and AI Chabot initiatives, understanding platform requirements for optimal client and data science team benefits.
- Facilitate the integration of ML models and Chabot functionalities within the Databricks environment.
- Skilfully create and configure new workspaces within the AWS environment, ensuring smooth setup and minimal vendor dependency.
- Proficiently write shell scripts for automation, leveraging Python and Scala for advanced scripting tasks.
- Implement robust access control mechanisms, configuring Databricks compute pools, service principles, groups, and roles.
- Implement stringent encryption measures for data stored in DBFS and AWS S3 buckets, utilizing AWS KMS for key management.
- Enforce strict access controls and security policies to protect against unauthorized access and data breaches.
- Configure comprehensive logging mechanisms to track system activities and user actions effectively, including utilizing AWS Cloud Trail for auditing and monitoring security events in real-time.
- Establish robust backup procedures, including regular backups of critical data and configurations.
- Implement versioning and lifecycle policies for data stored in S3 buckets to ensure data integrity and availability.
- Foster effective collaboration with cross-functional teams and application teams to support their requirements.
- Actively engage in knowledge sharing and contribute to the continuous improvement of the AWS Databricks environment and associated processes.
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