Azure Data Engineer
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Job Description
Azure Data Engineer building Azure and Microsoft Fabric data solutions for Quisitive, a global Microsoft cloud partner. Delivering pipelines, integrations, and analytics projects for clients.
Responsibilities:
- Design and build data and analytics solutions using Microsoft Azure and Microsoft Fabric
- Develop data pipelines and integration processes using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Fabric, and related technologies
- Write and maintain SQL, Python, and PySpark code for analytics, reporting, and business applications
- Work with project teams and clients to understand requirements and deliver effective solutions
- Contribute to solution design, testing, deployments, and troubleshooting throughout the project lifecycle
- Use Azure DevOps and Infrastructure-as-Code tools to support consistent deployments and environment management
- Share knowledge with teammates and stay current on Microsoft's data platform
Requirements:
- 3-8+ years’ experience building data and analytics solutions using Microsoft Azure
- Hands-on experience with Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, or similar technologies
- Strong SQL skills and experience with Python or PySpark
- Understanding of data integration, ETL/ELT processes, and data warehousing concepts
- Experience with source control, CI/CD, and Azure DevOps
- Familiarity with Infrastructure-as-Code tools such as Bicep or Terraform
- Strong problem-solving, communication, and collaboration skills
- Consulting, professional services, or client-facing project experience is a plus
Benefits:
- Variety of projects across industries
- Opportunities to build expertise in Microsoft's data platform
- Collaboration with experienced consultants, architects, and engineers
- Knowledge sharing and mentorship
- Career growth opportunities
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