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Inviso

Cloud Data Engineer – Azure, Fabric & Databricks

Inviso

3h ago

0$75k - $100kDataUnited Stateshimalayas
Senior-Cloud-Data-EngineerCloud-Data-EngineerAzure-Data-EngineerData-And-AI-EngineerData-EngineerMid-level

Job Description

Role OverviewThe Inviso Cloud Data Engineer is responsible for designing, building, and delivering modern Data & AI solutions on Microsoft Azure. This role works closely with clients and internal delivery teams to develop scalable, production-ready data platforms that enable analytics, reporting, operational intelligence, and AI workloads.What You Will DoThe Engineer contributes across the full project lifecycle including development, testing, deployment, optimization, and client collaboration. This role partners with solution architects, project teams, and customer stakeholders to implement modern lakehouse and data engineering patterns using Microsoft Fabric, Azure, and Databricks technologies.Why It Might Be a FitThe ideal candidate is hands-on, collaborative, detail-oriented, and passionate about building high-quality data solutions. Success in this role is measured through delivery quality, technical execution, customer satisfaction, and the ability to contribute effectively within project teams.Requirements3–5 years of experience designing, developing, and deploying Microsoft data platform solutionsExperience building and maintaining data pipelines using Microsoft Fabric, Azure Databricks, Azure Data Factory, or related Azure data servicesStrong proficiency in PySpark, SQL, Python, and modern ETL/ELT development patternsExperience working with lakehouse architectures, medallion data models, and enterprise data engineering practicesExperience with CI/CD deployment automation using Azure DevOps or GitHubStrong knowledge of Azure services including Azure Data Factory, Azure SQL, Azure Storage, Azure Data Lake Storage, and related servicesExperience troubleshooting, optimizing, and supporting production data workloadsExperience with T-SQL development including stored procedures, views, and performance optimizationStrong communication and collaboration skills for both internal and external client engagementsAbility to work independently, manage priorities, and deliver high-quality solutions within project timelinesInterest in modern AI productivity and agent technologies including Microsoft Copilot and Copilot StudioKnowledge of Data Vault or dimensional modeling methodologiesBenefitsmedical, dental, and vision insurance401(k) plan and company matchannual training reimbursementpaid time offpaid holidaysOriginally posted on Himalayas