Microsoft Fabric - Azure Data Engineer

Job Overview:

Microsoft Fabric Data Engineer

Key Responsibilities:

• Work with large datasets to solve complex analytical problems.
• Conduct end-to-end data analyses, including collection, processing, and visualization.
• Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to develop data-driven solutions.
• Implement data pipelines, ETL processes, and data models using Microsoft Fabric.
• Development of data lakehouses, Delta Lake tables, and data warehouses.
• Optimize data storage, query performance, and cost efficiency.
• Provide technical knowledge, collaboration and guidance to other data engineers.
• Implement data security, governance, and compliance with industry standards.

Required Technical Skills:

• 3-5 years of experience in data engineering in Microsoft Cloud solutions.
• Expertise in Microsoft Fabric, Azure Data Services, and data integration.
• Experience with Azure Data Factory, Synapse Analytics, Databricks, and DevOps practices.
• Knowledge of data governance, compliance frameworks, and CI/CD pipelines.
• Excellent communication, and problem-solving skills.
• Strong proficiency in SQL, Python, and Power BI.
• Experience with data warehousing, ETL processes, and data modeling.
• Knowledge of cloud platforms, particularly Microsoft Azure and Fabric.
• Microsoft Certifications (e.g., DP-600, DP-203) are highly desirable
• Experience in data warehousing, data modelling, and dimensional schemas.

Preferred Qualifications:

• Microsoft Fabric Data Engineer, Fabric Analytics Engineer Certification or similar.
• Bachelors or master’s degree in computers, engineering or relevant areas.
• Knowledge of CI/CD pipelines for data engineering workflows.
• Strong analytical and problem-solving skills.
• Using DevOps for development and deployment.
• Agile methodologies like Scrum, XP or similar.
• Experience in AI and ML model deployment is a plus.