Job Description

Job Title: Databricks Administrator Experience: 6+ Years Location: Hyderabad/Hybrid Job Type: Full-time Job Description: We are seeking an experienced Databricks Administrator with 6+ years of expertise in managing and optimizing Databricks environments. The ideal candidate should have hands-on experience with Azure/AWS Databricks , cluster management, security configurations, and performance optimization. This role requires close collaboration with data engineering and analytics teams to ensure smooth operations and scalability. Key Responsibilities: Deploy, configure, and manage Databricks workspaces, clusters, and jobs . Monitor and optimize Databricks performance, auto-scaling, and cost management . Implement security best practices , including role-based access control (RBAC) and encryption. Manage databricks integration with cloud storage (Azure Data Lake, S3, etc.) and other data services . Automate infrastructure provisioning and management using Terraform, ARM templates, or CloudFormation . Troubleshoot Databricks runtime issues, job failures, and performance bottlenecks . Support CI/CD pipelines for Databricks workloads and notebooks. Collaborate with data engineering teams to enhance ETL pipelines and data processing workflows . Ensure compliance with data governance policies and regulatory requirements . Maintain and upgrade Databricks versions and libraries as needed. Required Skills & Qualifications: 6+ years of experience as a Databricks Administrator or in a similar role. Strong knowledge of Azure/AWS Databricks and cloud computing platforms . Hands-on experience with Databricks clusters, notebooks, libraries, and job scheduling . Expertise in Spark optimization, data caching, and performance tuning . Proficiency in Python, Scala, or SQL for data processing. Experience with Terraform, ARM templates, or CloudFormation for infrastructure automation. Familiarity with Git, DevOps, and CI/CD pipelines . Strong problem-solving skills and ability to troubleshoot Databricks-related issues. Excellent communication and stakeholder management skills. Preferred Qualifications: Databricks certifications (e.g., Databricks Certified Associate/Professional). Experience in Delta Lake, Unity Catalog, and MLflow . Knowledge of Kubernetes, Docker, and containerized workloads . Experience with big data ecosystems (Hadoop, Apache Airflow, Kafka, etc.). Why Join Us? Opportunity to work on cutting-edge Databricks solutions. Competitive salary and benefits package. Career growth and upskilling opportunities. Apply Now! [Provide application instructions email, career portal, etc.]