Description

You will architect and design large-scale data systems using Microsoft Fabric and Azure.

Responsibilities

• Design future-state data solutions on Azure and Microsoft Fabric following the Well-Architected Framework.
• Implement ETL processes, data governance, scalability, and security protocols.
• Plan and execute migrations of data solutions from on-premises, legacy systems, or other cloud platforms to Microsoft Cloud.
• Optimize existing data pipelines, queries, and models to enhance performance and business value.
• Collaborate with development teams to ensure successful deployment and operational stability of data services.

Required Skills

• 5+ years of experience in data engineering, management, or governance.
• Proficiency in at least four languages: TypeScript, Python, Spark, C#, Java, Scala, R, DAX, MDX, or M.
• Hands-on experience with SQL, Azure/Fabric Data Factory, PySpark, and Power BI.
• Competency in at least four technologies: Airbyte, Airflow, dbt, Great Expectations, Event Driven Microservices, Azure Databricks, Microsoft Fabric, or Microsoft Purview.
• Proven track record in Data Modernization and Digital Transformation engagements.
• Expertise in Logical and Physical Data Modeling.
• Experience implementing complex data transformations and data quality frameworks.
• Experience with Git-based version control and GitHub Actions for Microsoft Fabric deployments.
• Ability to assess existing on-premises or cloud data solutions to drive improvement initiatives.

Preferred Skills

• Experience with Data Science and/or Machine Learning.
• Azure or Fabric certifications.

Key Skills

Education

Any Gradute