Armstrong Collective Data Engineer Role
Rocky Mountaineer
Elevate your expertise with Armstrong Collective as a Data Engineer specializing in Microsoft Fabric. This hybrid role focuses on creating data solutions and improving analytical performance in a collaborative environment. With over five years of hands-on experience, you will design data models and build scalable data pipelines. Your role will also involve optimizing Power BI models by ensuring data governance and quality, contributing to strategic business decision-making through effective data products. Key Responsibilities:
- Design canonical data models to support analytics
- Build and maintain scalable batch and streaming pipelines
- Optimize KQL queries for real-time processing
- Create Spark and PySpark pipelines using medallion architecture
- Ensure high data quality through governance with Microsoft Purview
- Minimum of 5 years in data engineering
- Strong expertise in Microsoft Fabric and KQL
- Experience with Power BI semantic models
- Knowledge of migrating SQL workloads to Spark
- Exceptional problem-solving and detail-attentive skills
Vacancy posted 8 days ago
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