Azure Data Engineer - BI

Job Description Hybrid BI- Data Engineer (Azure) + BI
Role Overview:

We are looking for an experienced Data Engineer to join our team. The ideal candidate will focus on designing and managing end-to-end data solutions. This includes leveraging modern architectures like Medallion, developing robust ETL pipelines, and utilizing Azure-based databases to deliver scalable, efficient, and secure data workflows. Strong communication skills and stakeholder management are essential for this role.

Key Responsibilities:

• Data Architecture: Design and implement data systems using Medallion Architecture principles to ensure reliability, scalability, and performance.
• ETL Development: Build, optimize, and maintain ETL pipelines to handle large volumes of data across diverse sources.
• Cloud Expertise: Leverage Azure data services, such as Azure SQL, Synapse Analytics, and Azure Data Factory, to develop and deploy data solutions.
• Data Modeling: Create and maintain efficient data models that align with business needs and improve data accessibility.
• Automation: Implement and enhance automation in data workflows to improve efficiency and reduce manual intervention.
• Data Governance: Ensure data integrity, security, and compliance across all processes.
• Collaboration: Work closely with cross-functional teams to gather requirements, align on goals, and deliver solutions that meet business needs.

Required Skills and Qualifications:

• Technical Expertise:
• Proficiency in modern data engineering practices and cloud-based tools.
• Hands-on experience with Azure data platforms, including Azure SQL, Synapse, and Data Factory.
• Expertise in building and managing scalable ETL pipelines.
• Strong understanding of Medallion Architecture or similar layered frameworks.
• Working knowledge of Power BI and SQL (not at expert level).
• Familiarity with tools and frameworks for automation and workflow orchestration.
• Soft Skills:
• Excellent communication and interpersonal skills for stakeholder engagement.
• Strong analytical and problem-solving capabilities.
• Experience:
• Bachelor's degree in computer science, Data Engineering, or a related field.
• 4-6 years of relevant experience in data engineering roles.