Hands-On Data Engineer Collective

Build your data engineering expertise at Armstrong Collective in a hybrid role as a Data Engineer, focused on Microsoft Fabric. Contribute to strategic data solutions and performance enhancement.
This position requires a versatile Data Engineer with at least five years of experience. You will manage and develop data pipelines, design canonical models, and create Power BI solutions that impact business operations. Your technical judgment and collaborative spirit will be essential to our data engineering team.

Key Responsibilities:

• Design reliable data models for analytical needs

• Operate data pipelines using Microsoft Fabric’s Real-Time Intelligence

• Optimize data processing with KQL and maintain views

• Develop Spark pipelines aligned with Delta Lake practices

• Ensure data governance through Microsoft Purview
Requirements:

• 5+ years of data engineering experience

• Proficiency in Microsoft Fabric and KQL

• Experience in Power BI model creation

• Skills in migrating SQL to Spark workloads

• Strong analytical and problem-solving capabilities
Leverage your skills in data engineering to enhance strategies and deliver impactful solutions for Armstrong Collective.
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