13 Oct
|
US Based Law Firm
|
Hyderabad
13 Oct
US Based Law Firm
Hyderabad
Experience: 5+ years overall, including 3+ years in Databricks Administration
Location: PAN India – Hybrid
Preferred Locations: Chennai, Bangalore, Hyderabad, Noida, Mumbai, Kolkata, Nagpur, Warangal, Bhubaneswar
Employment Type: Full Time
Budget: Upto 21 LPA
Function: Data Platform Engineering & Cloud Operations
Client RequirementOur client is looking for an experienced Databricks Platform Engineer / Administrator for this position to manage and optimize enterprise Databricks environments on AWS, focusing on platform administration, governance, automation, security, cost optimization, and production support.
Key Responsibilities
- Administer Databricks workspaces, clusters, compute policies, jobs, and access controls.
- Manage Unity Catalog, data governance, workspace security, and permissions.
- Support AWS platform operations, monitoring, incident management, troubleshooting, and root cause analysis.
- Automate provisioning using Terraform, Databricks REST APIs/CLI, Python, and shell scripting.
- Optimize platform performance, resource utilization, and cloud costs.
- Support deployments, CI/CD, capacity planning, and operational documentation.
Mandatory Skills
- 5+ years overall experience, including 3+ years of hands-on Databricks Administration.
- Databricks Account/Workspace Administration and platform operations.
- Unity Catalog, cluster management, compute policies, and access governance.
- AWS: IAM, S3, VPC, KMS, CloudWatch, security controls, and networking.
- Terraform / Infrastructure as Code (IaC).
- Databricks REST APIs, CLI, Python automation, and shell scripting.
- Production support, monitoring, incident management, and troubleshooting.
- Cost optimization, platform governance, and cloud security.
- Working knowledge of SQL, ETL pipelines, and workflow scheduling.
Positive to Have
- Databricks Administrator / Data Engineer certification.
- AWS Associate-level certification or above.
- GitHub Actions, Jenkins, or Azure DevOps.
- Apache Spark, Kafka/streaming, Lakehouse architecture, and observability tools.
Education: Bachelor's degree in Computer Science, IT, Engineering, or a related field preferred.
📌 Databricks Platform Engineer (Hyderabad)
🏢 US Based Law Firm
📍 Hyderabad