Job Url: https://www.remoterocketship.com/company/quisitive/jobs/azure-data-engineer-united-states

Job Description: 
Quisitive
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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. 

Digital Transformation Services • Azure Migration • Azure Development • Cloud Migration • Data Science


501 - 1000 employees

☁️ SaaS

🏢 Enterprise

Azure Data Engineer
June 17

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

Azure

Cloud

ETL

PySpark

Python

Scala

Spark

SQL

.NET

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📋 Description
•As an Azure Data Engineer you will design, build, and maintain scalable data pipelines and analytics solutions on the Microsoft Azure platform.
•The ideal candidate is proficient in Azure data services, has a strong background in data engineering (ETL/ELT), and is excited about optimizing data systems from the ground up.

🎯 Requirements
•3+ years of experience in data engineering or BI development, with a focus on the Azure cloud data platform.
•Azure Data Services Expertise: Hands-on experience with Azure Databricks, Azure Synapse Analytics (particularly Synapse pipelines and SQL pools), Azure Data Factory, and Azure Data Lake Storage. Familiarity with Microsoft Fabric or eagerness to learn it, as we are adopting Fabric for unified analytics.
•Programming & DB Proficiency: Strong coding skills in Python (for data manipulation and scripting) and SQL (for querying and transforming data).
•ETL/ELT and Data Modeling: Proven ability to design and implement ETL/ELT workflows. Solid understanding of relational databases and data modeling concepts (normalization, dimensional modeling).
•Experience building data warehouses or data marts on Azure (SQL Database/Synapse).