Data Engineer with Databricks and Azure on W2 only

Overview

On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)
Able to Provide Sponsorship

Skills

Databricks
Azure

Job Details

Position Title: Data Engineer with Databricks and Azure
Location: Dallas, TX
Duration: 12 plus months with possible extension
Technical Skills
  • Azure Cloud Services: Configure VNets, NSGs, firewalls, and private endpoints for secure connectivity.
  • Security: Manage Azure Active Directory (Azure AD), identity and access management (IAM), RBAC, encryption, and key management for data protection.
  • Storage: Understand and manage Azure Storage accounts for data storage.
  • Databricks Platform/Workspace Management: Set up and manage Databricks workspaces, including user identities, compute resources, and workspace settings.
  • Data Governance: Implement and manage data governance features, including data tables, views, sharing, and security models.
  • Compute: Create and manage compute resources for Databricks jobs and workloads.
  • Scripting & Automation/Programming Languages: Proficiency in languages like Python, Scala, or Java for developing solutions and automating tasks.
  • Azure CLI: Use command-line tools for managing Azure resources and tasks.
  • Infrastructure as Code (IaC): Experience with tools like ARM templates, Bicep, or Terraform for automating infrastructure deployment.
  • Monitoring & Troubleshooting/Monitoring Tools: Set up and utilize Azure Monitor, Log Analytics, and other tools to monitor performance and identify issues.
  • Performance Tuning: Analyze metrics and logs to proactively identify and resolve performance bottlenecks.
Soft Skills
  • Problem-Solving: Excellent ability to troubleshoot issues and find effective solutions.
  • Attention to Detail: Meticulousness in ensuring accurate configurations and precise settings.
  • Communication & Collaboration: Strong skills to effectively communicate with teams and collaborate on projects.
  • Adaptability & Learning: A continuous learning mindset to keep up with the fast pace of technological change in cloud environments.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.