Azure Data Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Quisitive

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

🏭 Manufacturing

📦 Logistics

Healthcare • Manufacturing • Logistics

Quisitive is a leading Microsoft Cloud Partner that focuses on providing integration and consulting services to help businesses innovate and thrive using Microsoft cloud technologies. The company specializes in application development, data and analytics, artificial intelligence, business applications, security, digital workplace solutions, and infrastructure management. Quisitive assists organizations in various sectors, including manufacturing, healthcare, education, energy, and public sector, helping them efficiently navigate and implement cloud-based solutions. With tailored products like MazikCare for healthcare and ShopFloor for manufacturing, Quisitive enhances operational efficiency and drives digital transformation across its clients’ businesses.

📋 Description

• 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