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Cloud Engineer

BAMM Staffing

Role overview

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 i.e. Azure, AWS, GCP

Responsibilities

  • 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

About the company

BAMM Staffing logo

BAMM Staffing

Staffing & Recruiting

BAMM is a leading Staffing and Solutions company. We have backgrounds in the industry and have a unique advantage in working with clients and candidates. Founded in 2001 with our headquarters in Eatontown, NJ, BAMM is privately owned and operated. We employ the industry's top recruiters and business development managers with over 20 years combined Staffing and Human Resource experience, specializing in Information Technology providing Direct Hire, Contract, Contract-to-Hire, and Executive Search services. BAMM is industry recognized for meeting and exceeding client expectations and needs. Diversified experience to include industry knowledge of our Financial, Pharmaceutical, Retail, Media, and Manufacturing clients.

Company details

IndustryStaffing & Recruiting
Company size11 - 50

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Job 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 efficiently
Qualifications 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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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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