Senior Data Consultant – Microsoft Fabric, Azure

🕒 il y a 10 jours

🏈 Alabama, Colorado, +17 états de plus – Distant

🏈 Alabama – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦬 Montana – Remote 🌾 Nebraska – Remote 🎰 Nevada – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote 🧀 Wisconsin – Remote

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🟠 Senior

💼 Consultant

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Trility Consulting

Site WebLinkedInTous les Emplois

51 - 200 employés

💼 Conseil

📦 Logistique

📣 Marketing

Consulting • Logistics • Marketing

Trility Consulting est une entreprise de conseil en technologie axée sur les affaires, spécialisée dans l'IA et les données, la conception et le développement de logiciels, l'ingénierie cloud et DevOps. Réputée pour ses valeurs de confiance, de partenariat et d'excellence, Trility propose une approche collaborative pour relever les défis commerciaux importants avec clarté et confiance. L'entreprise met l'accent sur la livraison continue et la sécurité par conception, en employant une méthodologie éprouvée et évolutive pour atteindre des solutions modernes. Reconnu comme entreprise technologique de l'année dans l'Iowa, Trility est détenue par ses cadres supérieurs, garantissant une gestion de projet axée sur l'investissement et les résultats. Avec un accent sur la prévisibilité, la répétabilité et l'auditabilité, Trility sert des clients dans divers secteurs, offrant à la fois des solutions full-stack et une expertise de conseil stratégique.

Description

• Build and maintain Microsoft Fabric data pipelines supporting REST APIs, SQL Server sources, and file-based ingestion processes • Develop and orchestrate Spark notebooks within Microsoft Fabric • Implement Bronze, Silver, and Gold lakehouse patterns within OneLake environments • Develop ingestion processes that accommodate schema drift and evolving source systems • Design reusable ingestion frameworks and scalable data engineering patterns that accelerate future solution delivery. • Build, test, and optimize ETL/ELT processes for performance, scalability, and maintainability • Support the implementation of semantic models, Direct Lake solutions, and downstream analytics requirements. • Participate in Azure DevOps CI/CD processes, including Dev/Test/Prod promotion workflows • Implement metadata, lineage, governance, and security best practices to support enterprise-scale Microsoft Fabric solutions. • Collaborate closely with client engineers through paired development and knowledge-sharing activities • Apply data engineering best practices related to testing, monitoring, documentation, and operational support

🎯 Exigences

• Must reside within the United States • Must be authorized to work in the United States without sponsorship now or in the future • Must be able to pass a background check • 5+ years of experience working with Azure Data Services, including Microsoft Fabric, Azure Data Factory, Databricks, or Synapse • Hands-on Microsoft Fabric experience in production environments • Strong experience building and maintaining ETL/ELT pipelines • Experience developing Spark notebooks and data transformation workflows • Experience implementing medallion architecture patterns (Bronze, Silver, Gold) • Strong SQL skills for data transformation, validation, and performance tuning • Experience integrating data from REST APIs, relational databases, XML, CSV, and other structured or semi-structured data sources. • Experience working with Azure DevOps CI/CD processes • Familiarity with data governance, lineage, and metadata management concepts • Experience working within lakehouse architectures and cloud-based analytics platforms • Ability to collaborate effectively with technical teams and participate in client-facing discussions when needed • Strong written and verbal communication skills • Experience with Direct Lake implementations (preferred) • Experience integrating governance platforms such as Alation (preferred) • Experience supporting Power BI semantic models and analytics workloads (preferred) • Experience working within consulting or professional services environments (preferred) • Exposure to Azure OpenAI, Power Apps, or AI-assisted data workflows (preferred)

🏖️ Avantages

• Work remotely anywhere in the United States with flexible work hours • Paid time-off, company holidays, and floating holidays • Comprehensive benefits with contributions toward premiums • 401(k) plan • Sponsored and supported learning opportunities