Data Administrator

3 days ago

Bengaluru, India Nexionpro Full time

Description : Required : 7+ Years.Work Location : Bangalore / Chennai / Hyderabad.Role Overview : We are seeking an experienced Databricks Administrator to manage, optimize, and maintain our Databricks platform across multiple environments.The ideal candidate will have a strong background in data engineering infrastructure, cluster management, security, governance, and automation within Databricks and related Azure/AWS ecosystems.Key Responsibilities : Databricks Platform Administration : - Manage and maintain Databricks workspaces, clusters, jobs, pools, and libraries.- Monitor performance and optimize resource utilization across environments (dev, test, prod).- Implement autoscaling, cluster policies, and cost control measures.Security & Access Management : - Configure and maintain user/group access via Azure AD or IAM integration.- Implement fine-grained access control using Unity Catalog and role-based permissions.- Ensure compliance with enterprise data security standards.Automation & CI/CD : - Automate cluster provisioning, job deployment, and workspace management using Terraform, Databricks CLI, or REST APIs.- Integrate Databricks with CI/CD tools like Azure DevOps, Jenkins, or GitHub Actions.Monitoring & Troubleshooting : - Proactively monitor cluster health, job performance, and data pipeline stability.- Diagnose and resolve system, configuration, and performance issues.- Implement alerting, logging, and audit trail monitoring.Integration & Collaboration : - Work with Data Engineers, DevOps, and Cloud teams to ensure smooth data operations.- Support integration with Snowflake, Kafka, Azure Data Lake, or AWS S3.- Collaborate on optimizing Spark configurations and ETL performance.Governance & Compliance : - Implement best practices for workspace and notebook governance.- Manage version control for notebooks and data pipelines.- Enforce tagging, cost allocation, and audit standards.Required Skills & Qualifications : - Bachelors degree in Computer Science, Engineering, or related field.- 7+ years of experience in Data Engineering or Platform Administration, with at least 3+ years in Databricks Administration.- Strong understanding of Apache Spark architecture and performance tuning.- Hands-on experience with Azure Databricks or AWS Databricks environments.- Proficiency with Terraform, Databricks CLI, REST APIs, and CI/CD pipelines.- Expertise in cluster configuration, job scheduling, and resource optimization.- Familiarity with Unity Catalog, Delta Lake, DBFS, and Lakehouse architecture.- Experience integrating Databricks with ADLS, S3, Snowflake, Synapse, or Redshift.- Strong problem-solving and scripting skills (Python, Shell, or PowerShell). (ref:hirist.tech)

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