Data Engineer

Data Engineer – Microsoft Fabric & Advanced Analytics

Summary

We are seeking a skilled Data Engineer with hands-on experience in Microsoft Fabric and advanced analytics platforms. The ideal candidate will design, optimize, and maintain data models and data pipelines to support reporting, analytics, and data science needs across the enterprise. You will collaborate closely with data scientists, analytics developers, engineers, and business stakeholders to deliver robust, scalable solutions using tools such as Power BI, Dataflows, Lakehouses, SQL endpoints, and other modern data engineering technologies.

Key Responsibilities

• Work closely with data scientists, analytics developers, and business teams to establish data needs and architect scalable solutions.
• Design, develop, and optimize data pipelines using Microsoft Fabric and other relevant technologies to handle large-scale data workflows.
• Assemble large, complex data sets that meet functional and non-functional business requirements.
• Create, manage, and automate ETL (Extract, Transform, Load) processes to integrate data from a variety of sources into unified data warehouses or lakes.
• Build and maintain efficient data models and schemas, ensuring data is structured for maximum performance and scalability.
• Identify, design, and implement internal process improvements : automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability and performance.
• Implement best practices for ensuring data quality, consistency, and integrity across all systems.
• Ensure compliance with global data privacy, security, and regulatory standards.
• Collaborate with cross-functional teams to ensure smooth data flow and availability for analytics and reporting.
• Regularly optimize data processes for performance improvements and cost management.
• Utilize orchestration tools to automate workflows and scheduling of data processes.
• Document all data processes, architectures, and solutions to facilitate knowledge sharing and future maintenance.
• Other duties as assigned.

Required Qualifications

Preferred Qualifications

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