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

The 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 Fit

The 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.

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

• medical, dental, and vision insurance
• 401(k) plan and company match
• annual training reimbursement
• paid time off
• paid holidays

Originally posted on Himalayas