Data Engineer – Azure Fabric Engineer Consultant

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🕒 Maio 1

🏈 Ohio – Remoto

🏈 Ohio – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

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Inter.link

SiteLinkedInTodas as Vagas

11 - 50 funcionários

📡 Telecomunicações

☁️ SaaS

⚡ Energia

Telecommunications • SaaS • Energy

Inter. link é uma empresa que fornece soluções de rede avançadas, incluindo serviços de IP Transit, Carrier Ethernet e proteção contra DDoS. Especializada em oferecer conectividade de alta qualidade em mais de 300 data centers na Europa, a Inter. link é conhecida por sua plataforma de rede flexível que permite provisionamento rápido e personalização por meio de um portal de autoatendimento ou API. A empresa é dedicada à sustentabilidade, possuindo certificações como B Corporation e PAS 2060 para neutralidade de carbono. A Inter. link busca atender altos padrões de desempenho com foco em latência, disponibilidade e responsabilidade ambiental, tornando-se um parceiro ideal para empresas que buscam soluções de conectividade eficientes e sustentáveis.

Descrição

• You’ll lead client discovery to understand business goals, data landscape, constraints, and success metrics—then translate findings into a clear delivery plan. • You’ll design and recommend data lake, Lakehouse, data warehouse, and analytical data store architectures on Azure and Microsoft Fabric aligned to client needs. • You’ll implement (and/or guide implementation of) ingestion, transformation, and orchestration pipelines using Microsoft Fabric experiences and Azure services (e.g., Data Factory, Synapse, Databricks). • You’ll integrate data from operational systems, APIs, and third-party sources and transform raw data into curated datasets ready for consumption. • You’ll build and maintain analytics-ready data models and schemas; implement enrichment, business rules, and reusable patterns for consistency across projects. • You’ll enable multiple compute engines (SQL, Spark/PySpark, Spark SQL, KQL) to run against shared datasets, supporting diverse analytics scenarios. • You’ll design and build AI-enabled analytics and data products, including agentic workflows (e.g., retrieval-augmented generation patterns), ensuring solutions are scalable, secure, and aligned with responsible AI practices. • You’ll establish data quality practices (validation, reconciliation, testing) and monitoring, troubleshoot failures, and continuously improve pipeline resiliency. • You’ll optimize transformations, query performance, and pipeline execution to meet client SLAs and cost objectives. • You’ll implement logging, metrics, and operational runbooks, and support deployments, cutovers, and hypercare as needed. • You’ll design and implement security, governance, and compliance controls (access, least privilege, data protection, lineage) across Azure and Fabric. • You’ll facilitate workshops and communicate architecture tradeoffs, partnering with client stakeholders, architects, analysts, and BI developers to deliver trusted datasets. • You’ll produce clear consulting deliverables (design docs, diagrams, implementation guides) and enablement materials to support adoption and smooth handoff.

🎯 Requisitos

• Experience designing and delivering modern analytics platforms (Lakehouse and/or data warehouse patterns) on Azure and/or Microsoft Fabric, including client-facing delivery. • Strong SQL skills with experience building transformations and dimensional/analytical models. • Hands-on experience with Spark (PySpark/Spark SQL) and/or KQL for data engineering and analytics workloads. • AI development experience, including designing agentic solutions (multi-step/tool-using workflows) that leverage enterprise data (e.g., retrieval-augmented generation patterns). • Experience building reliable data pipelines, including orchestration, scheduling, error handling, and automated monitoring. • Knowledge of data quality practices (validation, reconciliation, testing) and incident triage/root-cause analysis. • Working knowledge of Power BI (including semantic modeling concepts) to support end-to-end analytics delivery; Power Apps experience is a plus. • Understanding of security and governance concepts for data platforms (access controls, least privilege, compliance, lineage). • Strong communication skills, with the ability to present recommendations, align stakeholders, and manage expectations in a client environment.