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Description

We are seeking an experienced and highly skilled Data Engineer with specialized knowledge in Microsoft Fabric to join our team. This role is ideal for a candidate who is passionate about data architecture, transformation, and management within cutting-edge cloud environments. As a Data Engineer, you will be responsible for designing, implementing, and optimizing scalable data systems that support advanced analytics and business intelligence initiatives.

Key Responsibilities:

+ Data Architecture Design: Build and maintain robust, scalable, and efficient data pipelines utilizing Microsoft Fabric’s powerful capabilities

+ ETL Development: Engineer end-to-end data extraction, transformation, and loading processes from diverse sources into structured data stores while maintaining data quality and integrity

+ Microsoft Fabric Expertise: Leverage Microsoft Fabric integration frameworks to connect, transform, and model data across platforms, enabling seamless collaboration and analytics

+ Collaboration: Partner closely with data scientists, business analysts, and other stakeholders to understand data requirements and deliver optimized solutions

+ Performance Optimization: Diagnose and resolve bottlenecks in data processing workflows while enhancing system performance and reliability

+ Analytics Enablement: Aid in the development of advanced dashboards, reports, and AI-driven insights by ensuring appropriate data structuring and modeling

+ Data Governance: Enforce data security, compliance, and governance practices in alignment with corporate standards and regulatory requirements

Requirements

Required Qualifications:

+ Bachelor’s degree in Computer Science, Data Engineering, or a related field.

+ Proven professional experience (3+ years) in a Data Engineering role, preferably within cloud-based environments.

+ Hands-on expertise with Microsoft Fabric including its integration tools, Data Factory, and Lakehouse architecture

+ Proficiency in one or more programming languages (e.g., Python, SQL, Java).

+ Solid understanding of ETL pipelines, data modeling, and cloud-based data frameworks (Azure familiarity highly desired).

+ Exceptional problem-solving and critical-thinking skills.

+ Ability to work effectively in cross-functional teams and communicate complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

+ Experience with big data tools such as Apache Spark, Hadoop, or similar frameworks in combination with Microsoft Fabric

+ Familiarity with machine learning data preparation workflows and AI tools.

+ Certifications in Microsoft Azure Data Engineering or Microsoft Fabric.

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