Cloud Data Engineer – Azure, Fabric & Databricks

Role Overview

The 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 Do

Design, develop, and deploy Microsoft data platform solutions, build and maintain data pipelines using Microsoft Fabric, Azure Databricks, Azure Data Factory, or related Azure data services, and work with lakehouse architectures, medallion data models, and enterprise data engineering practices.

Why It Might Be a Fit

The ideal candidate is hands-on, collaborative, detail-oriented, and passionate about building high-quality data solutions, with strong communication and collaboration skills for both internal and external client engagements.

Requirements

• 3–5 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
• 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

Benefits

• health coverage for employees, spouses, and dependents
• term life insurance
• provident fund contributions
• casual leave
• earned/paid leave
• annual training allowance