Databricks L1 Support Engineer

Compunnel

• $80K — $95K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 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, including Azure, AWS, and GCP.
  • Experience with source control tools, including Git, GitHub, or GitLab.
  • Bachelor's degree in IT, Computer Science, Business Administration, Information Systems, or related field, or equivalent experience.

Responsibilities

  • Provide first-level support to application teams via the ServiceNow ticketing system.
  • Gather and analyze requirements to onboard new Data Landing Zones (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 efficiently.

Benefits

  • Opportunity to work with cutting-edge technologies in a cloud environment.
  • Collaborative team culture with cross-functional engagement.
  • Focus on automation and process improvement.
  • Comprehensive documentation practices to enhance knowledge sharing.
  • Exposure to a variety of cloud platforms and tools.
Full Job Description
Job Summary
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.

Key Responsibilities
• Provide first-level support to application teams via the ServiceNow ticketing system.
• Gather and analyze requirements to onboard new Data Landing Zones (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 efficiently.

Required Qualifications
• 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, including Azure, AWS, and GCP.
• Experience with source control tools, including Git, GitHub, or GitLab.
• Bachelor's degree in Information Technology, Computer Science, Business Administration, Information Systems, or a related field; or equivalent combination of education and experience.

Preferred Qualifications
• In-depth knowledge of Databricks features such as Unity Catalog, RBAC, authentication methods, and Delta Sharing.
• Experience working within the Azure ecosystem.
• Proficiency in Infrastructure as Code (IaC) tools such as Terraform, AWS CDK, or Bicep.
• Experience with CI/CD pipelines using automation tools such as Azure DevOps, Jenkins, or GitHub Actions.
• Experience in scripting and development using Python, PowerShell, or Bash.

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