Cloud Platform Administrator

1 week ago

Bengaluru Karnataka, India Texplorers Full time

**Location**: Bengaluru, KA
**Position Type**: Full-Time
**Hours**: 9:00am to 5:00pm Weekdays (Monday - Friday)

**Key Responsibilities**:

- **User & Access Management**:Creating users, setting roles, managing access controls.
- **Cluster & Resource Management**:Provisioning clusters, monitoring resource usage, optimizing performance.
- **Job Management**: Scheduling, managing, and optimizing jobs and workflows.
- **Monitoring & Troubleshooting**: Monitoring system performance, troubleshooting issues.
- **Platform Maintenance**: Managing updates, backups, integrations, and disaster recovery.
- **Collaboration**: Working with data teams and cloud administrators to optimize and maintain the environment.
- **Cost Optimization**: Monitoring resource usage and controlling costs.

**Technical Experience**:
**Cloud platform expertise (AWS, Azure, GCP)**:

- Familiarity with the major cloud providers (AWS, Azure, Google Cloud).

**Databricks-specific admin experience (clusters, jobs, workspaces)**:

- Managing Databricks workspaces, clusters, jobs, and libraries.
- Configuring and scaling Databricks clusters, including creating cluster policies.
- Understanding Databricks security settings, including access control and user management.
- Knowledge of data security and governance, especially using Databricks’ security features such as secret management and data encryption.

**Security and compliance management**:

- Understanding of **role-based access control (RBAC)** and **fine-grained access control (FGAC)** in Databricks.
- Knowledge of **security auditing** and the ability to monitor logs for suspicious activities.

**Experience with Apache Spark and data engineering.**:

- Experience with **Apache Spark** and distributed computing (Databricks is built on top of Spark).
- Familiarity with **Delta Lake** (Databricks’ optimized data lake).
- Understanding data pipelines and how to schedule, monitor, and manage them.

**Automation and scripting skills (Python, Scala, SQL)**:

- **Automation**: Experience with automating workflows in Databricks, such as creating and managing clusters, jobs, and notebooks.
- **Scripting languages**: Strong skills in **Python**, **Scala**, or **SQL** for managing tasks or interacting with the Databricks API.
- Familiarity with **REST APIs** to integrate Databricks with other systems or automate tasks.

**Monitoring, troubleshooting, and performance optimization**:

- Familiarity with **Databricks monitoring tools** (e.g., cluster metrics, job logs).
- Ability to monitor resource usage and performance, troubleshoot issues, and optimize resource allocation.
- Knowledge of **debugging Spark jobs** and resolving common issues related to cluster failures, performance bottlenecks, and resource contention.

**Collaboration and communication**:

- Ability to collaborate with data scientists, data engineers, and other teams to ensure the Databricks environment meets their needs.
- Communication skills to effectively explain technical concepts to non-technical stakeholders.
- **Problem-Solving**:Ability to troubleshoot issues and resolve them efficiently.
- **Adaptability**:Keeping up with evolving technologies and best practices.

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