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Job Title: Databricks Platform Engineer / Databricks Administrator
Location: [Bangalore / US Shift hours (6.00 pm to 3.00 am]
Function: AWS | Databricks | Jenkins | Terraform | Python
We are seeking a highly skilled, hands-on engineer with deep expertise in Databricks, CI/CD, and cloud infrastructure on AWS. The ideal candidate should be well-versed in Databricks infrastructure management, automation, and deployment pipelines, with strong programming skills in Python.
Key Responsibilities
Manage and maintain AWS cloud infrastructure, ensuring scalability, security, and cost efficiency
Design, build, and manage Databricks infrastructure on AWS
Support deployment and operationalization of Databricks-based data platforms, including cluster management and job orchestration
Implement Infrastructure as Code (IaC) practices using tools such as Terraform or AWS CloudFormation
Develop automation scripts and tools using Python and Shell Scripting to streamline operational processes
Design, implement, and optimize CI/CD pipelines using CloudBees (Jenkins) to support application and data platform deployments
Collaborate with software engineering, data engineering, and architecture teams to enable reliable and efficient delivery pipelines
Monitor system performance, availability, and reliability using enterprise monitoring solutions
Troubleshoot production issues and implement root cause analysis with preventive action.
Required Qualifications
Bachelor s degree in Computer Science, Information Technology, Engineering, or related discipline
4+ years of experience in DevOps, cloud engineering, or related roles
Exposure to Databricks platform (cluster setup, job execution, notebooks)
Hands-on experience with AWS services (EC2, S3, IAM, VPC, Lambda, etc.)
Experience with CloudBees/Jenkins for CI/CD pipeline implementation
Experience with Git-based version control systems
Experience in Data bricks Platform Administration - Unity Catalog, Clusters, Platform security and access management.
Hands on Databricks Apps and Databricks Genie Admin / Configuration.
Experience with monitoring and logging tools such as CloudWatch, DataDog
Understanding of cloud security, networking, and system architecture principles
Strong scripting/programming skills in Python and Groovy
Experience working in Agile/Scrum environments
Work arrangement
Hybrid
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