Cloud Data Engineer responsible for modern Data & AI solutions on Microsoft Azure. Collaborating with clients and teams to develop production-ready data platforms and support analytics.
Responsibilities
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
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 technologies
Requirements
3-5 years of experience designing, developing, and deploying Microsoft data platform solutions
Experience with data pipelines using Microsoft Fabric, Azure Databricks, Azure Data Factory, or related Azure data services
Proficiency in PySpark, SQL, Python, and modern ETL/ELT development patterns
Experience with lakehouse architectures, medallion data models, and enterprise data engineering practices
Experience with CI/CD deployment automation using Azure DevOps or GitHub
Knowledge of Azure services including Azure Data Factory, Azure SQL, Azure Storage, Azure Data Lake Storage, and related services
Experience with T-SQL development including stored procedures, views, and performance optimization
Microsoft Cloud certifications (Fabric, Azure Data Engineer, or related)
Bachelor's degree (or higher) in a related field
Experience with AI/ML frameworks, analytics engineering, or modern AI workloads
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