Data Scientist

We are seeking an experienced Data Scientist with a strong focus on Microsoft Fabric to design, implement, and maintain enterprise data solutions. The ideal candidate will have a minimum of 3 years of hands-on experience implementing Microsoft Fabric, including deep expertise in Fabric Data Factory, Dataflow Gen2, Notebooks, and Data Warehouse and Lakehouse design.

• Data Engineering & Pipeline Development
• Design, develop, and maintain data pipelines using Microsoft Fabric Data Factory for data ingestion, transformation, and orchestration.
• Build Dataflow Gen2 processes to prepare and enrich data from multiple sources for analytical consumption.
• Develop and manage Fabric Notebooks (Python, Spark, SQL) for advanced transformations and automation.
• Deploy, monitor, and optimize data pipelines using CI/CD processes in Azure DevOps or GitHub Actions.
• Implement robust data quality, validation, and monitoring processes.
• Data Architecture & Modeling
• Design and implement Data Warehouses and Lakehouses within Microsoft Fabric to meet analytical and operational needs.
• Understand when to use Lakehouse vs. Warehouse based on data volume, structure, performance requirements, and business use cases.
• Apply best practices for data modeling (star/snowflake schema, dimensional modeling, and semantic models).
• Ensure alignment with enterprise architecture and data governance standards.
• Analytics & Business Enablement
• Develop Power BI semantic models and datasets using DAX and Power Query for reporting and self-service analytics.
• Collaborate with BI and business teams to ensure data products meet stakeholder needs.
• Optimize Power BI performance by tuning data models, queries, and refresh strategies.

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or 10 years of working experience in related field.
• Minimum of 2 years of hands-on experience implementing Microsoft Fabric (Data Factory, Dataflow Gen2, Notebooks, Data Warehouse, Lakehouse).
• Proven experience developing and deploying Fabric Data Factory pipelines with CI/CD automation.
• Strong working knowledge of Power BI, DAX, and Power Query (M language).
• Expertise in SQL and Python for data transformations, query optimization, and automation.
• Solid understanding of data architecture principles, including data modeling, schema design, and performance tuning.
• Experience applying DevOps and Agile methodologies in data engineering projects.
• Ability to choose the right Fabric tools (Lakehouse, Warehouse, Dataflows, Notebooks, Power BI) to solve specific business problems.
• Familiarity with Data Mesh principles, including domain-oriented data ownership, federated governance, and self-service data platforms.
• Proficient in implementing Medallion Architecture (Bronze, Silver, Gold layers) within Microsoft Fabric for scalable and maintainable data solutions.
• Excellent communication and collaboration skills, with experience working across multiple business domains.

• Microsoft certifications such as:
  • Microsoft Certified: Fabric Analytics Engineer Associate
  • Microsoft Certified: Azure Data Engineer Associate
• Experience with GitHub Actions or Azure DevOps YAML pipelines for CI/CD automation.
• Familiarity with data governance frameworks, metadata management, and security best practices.
• Exposure to real-time analytics, event-driven architecture, or AI/ML data preparation.