Cloud Data Engineer, Azure, Fabric, Databricks

🕒 il y a 2 mois

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Inviso

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2004

💼 Conseil

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Inviso est un Microsoft Cloud Solution Provider (CSP) spécialisé dans des solutions technologiques transformatrices, conçues pour un monde axé sur l’IA. Fort de plus de 20 ans d’expérience en tant que partenaire Microsoft de longue date, Inviso propose un éventail de services incluant l’analyse de données, l’automatisation des processus métier, la cybersécurité et la gouvernance des données. Sa mission est d’aider les organisations à optimiser l’usage des technologies Microsoft afin d’accroître leur productivité et de sécuriser leurs opérations. Inviso s’appuie sur des technologies d’IA avancées et offre un accompagnement expert pour conduire des transformations organisationnelles significatives, permettant à ses clients d’évoluer dans un environnement de travail moderne et sécurisé.

Description

• Responsible for designing, building, and delivering modern Data & AI solutions on Microsoft Azure • Work closely with clients and internal delivery teams to develop scalable, production-ready data platforms that enable analytics, reporting, operational intelligence, and AI workloads • Contribute across the full project lifecycle including development, testing, deployment, optimization, and client collaboration • Partner with solution architects, project teams, and customer stakeholders to implement modern lakehouse and data engineering patterns using Microsoft Fabric, Azure, and Databricks technologies • Support a wide range of customer environments across commercial and public sector organizations

🎯 Exigences

• 3+ years of experience designing, developing, and deploying Microsoft data platform solutions • Experience building and maintaining data pipelines using Microsoft Fabric, Azure Databricks, Azure Data Factory, or related Azure data services • Strong proficiency in PySpark, SQL, Python, and modern ETL/ELT development patterns required • Experience working with lakehouse architectures, medallion data models, and enterprise data engineering practices • Experience with CI/CD deployment automation using Azure DevOps or GitHub • Strong knowledge of Azure services including Azure Data Factory, Azure SQL, Azure Storage, Azure Data Lake Storage, and related services • Experience troubleshooting, optimizing, and supporting production data workloads • Experience with T-SQL development including stored procedures, views, and performance optimization • Strong communication and collaboration skills for both internal and external client engagements • Ability to work independently, manage priorities, and deliver high-quality solutions within project timelines • Interest in modern AI productivity and agent technologies including Microsoft Copilot and Copilot Studio • Knowledge of Data Vault or dimensional modeling methodologies preferred

🏖️ Avantages

• Inviso India provides health coverage for our employees, spouses and dependants • Term life insurance • Provident fund contributions • Casual leave • Earned/paid leave • Annual training allowance for continuous learning