Databricks Automation

4 days ago

Charlotte, United States SMBC Group Full time

The anticipated salary range for this role is between $113,000.00 and $170,000.00. The specific salary offered to an applicant will be based on their individual qualifications, experiences, and an analysis of the current compensation paid in their geography and the market for similar roles at the time of hire. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC offers a competitive portfolio of benefits to its employees. Role Description We are seeking a proactive and detail-oriented Databricks L1 Support Engineer to join our team. In this role, you will collaborate closely with application teams to build and deploy Data Landing Zones (DLZ) using Infrastructure as Code (IaC). This involves deploying commonly requested Azure resources, automating common processes, and ensuring smooth onboarding of new application teams into the Databricks environment.Role Objectives -Provide first-level support to application teams via ServiceNow ticketing system- Gather and analyze requirements to onboard new DLZs- Execute pipelines and scripts to provision or modify Azure and Databricks resources- Automate repetitive tasks and improve existing support processes.- Create and maintain comprehensive documentation for support procedures and workflows- Collaborate with cross-functional teams to resolve common support requests efficientlyQualifications and Skills - 1–3 years of hands-on experience with Databricks- 1–3 years of experience with Azure Data Factory- Background in application support or technical operations- Familiarity with major cloud platforms i.e. Azure, AWS, GCP- Experience with source control i.e. Git, GitHub, GitLab Preferred Qualifications:- In-depth knowledge of Databricks features such as Unity Catalog, RBAC, authentication methods, delta sharing- Databricks- Experience working within the Azure ecosystem- Proficiency in IaC tools i.e. Terraform, AWS CDK, Bicep- Experience with CI/CD pipelines using automation tools i.e. Azure DevOps, Jenkins, GitHub Actions- Experience in scripting and development skills i.e. Python, PowerShell, Bash

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