Developer III - Data Engineer, Microsoft Fabrics Specialist

Developer III - Data Engineer, Microsoft Fabrics Specialist

We are seeking an experienced Data Engineer with a strong focus on Microsoft Fabric to design, implement, and maintain enterprise data solutions. The ideal candidate will have at least 2 years of hands‑on experience implementing Microsoft Fabric, including deep expertise in Fabric Data Factory, Dataflow Gen2, Notebooks, and Data Warehouse and Lakehouse design.

• 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 Dev Ops or Git Hub Actions.
• Implement robust data quality, validation, and monitoring processes.
• Design and implement Data Warehouses and Lake houses 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.

• 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.
• Support advanced analytics, forecasting, and AI initiatives through well‑structured and high‑quality data sources.

• Work within a Dev Ops Agile framework, participating in sprint planning, stand‑ups, and retrospectives.
• Use version control and continuous integration tools to manage and deploy data assets.
• Collaborate closely with cross‑functional teams including software engineers, BI developers, and business analysts.
• Create detailed technical documentation, reusable templates, and automated deployment scripts.
• Partner with stakeholders in Finance, HR, Client Growth, Operations, and IT to understand business needs and deliver tailored data solutions.
• Translate business requirements into technical specifications and implement scalable data solutions accordingly.
• Promote best practices for data accessibility, quality, and governance across departments.

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or 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 Dev Ops 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 Git Hub Actions or Azure Dev Ops YAML pipelines for CI/CD automation.
• Familiarity with data governance frameworks, metadata management, and security best practices.
• Exposure…