Intermediate/Senior Data Engineer

Leobit ) is a .NET, AI, and web application development provider for technology companies and startups primarily located in the US, Canada, Australia, the UK, and the EU. Our technology focus covers .NET, Azure, PHP, Angular, iOS, Android, Ruby, React, and a comprehensive range of other technologies from Microsoft, Web, and Mobile Stacks.

We are looking for an Intermediate/Senior Data Engineer (with Microsoft Fabric) to join our team. The Data Engineer is a customer-facing technical role suited for professionals with a solid foundation in data engineering. This position involves designing, building, and implementing modern data infrastructure and software solutions, while working closely with Enterprise Architecture and Technology Leadership to drive strategic data initiatives.

• At least 2 years of professional experience in Microsoft Azure cloud solutions (Azure SQL, Azure Data Factory, Synapse, Data Warehousing, or other comparable Azure data tools)
• Experience in developing dimensional and semantic data models, implementing extract, transform and load (ETL) patterns, and familiarity with Lakehouse architecture concepts
• Experience with unified data analytics platforms such as Microsoft Fabric, Snowflake, or Databricks
• Understanding of high availability and disaster recovery principles, patterns and applications for data solutions
• Experience with supporting production applications or workloads, being able to performance test and troubleshoot related issues
• Experience in a consultative role or an engineering role, working with more than one client environment at any given time
• Excellent written and verbal communication skills, including technical writing and PowerPoint presentations
• Experience with Azure DevOps (or comparable build/release and CI/CD tooling), infrastructure-as-code (would be a plus)
• Experience in any cloud AI/ML services or development in notebooks (e.g., Python, R) (would be a plus)
• Certifications: Exam DP-900: Microsoft Data Platform Fundamentals,Exam DP-203: Data Engineering on Microsoft Azure, Exam DP-600: Microsoft Fabric Engineering Associate (would be a plus)
• Bachelor's or Master's degree in computer science (or similar technical field)
• Level of English: Upper-Intermediate (at least)

Responsibilities:

• Identify, evaluate, and execute the development and implementation of data infrastructure on Azure using Microsoft Fabric, Azure Data Lake, Databricks, and Azure SQL Server
• Perform analysis on source systems & datasets to build end-state data models for conformed warehousing, define layers of medallion architecture (Bronze, Silver, Gold), and implement recommendations for maximizing performance and customer experience in both relational and non-relational data ecosystems
• Reengineer legacy data workloads such as the Microsoft SQL Server BI stack (SSIS, SSAS, and SSRS) to the Azure ecosystem in Microsoft Fabric, Synapse, Data Factory, or other systems using industry standard and proprietary processes & technologies.
• Develop semantic models and Power BI reports, ensuring user-friendly design experiences and extensible, self-service analytics capabilities
• Define and clearly communicate requirements and expectations to stakeholders.
• Work as a team member across the complete life cycle of delivery including architecture, design, development, testing, and documentation

We offer:

• Interesting and challenging projects
• Competitive compensation and regular results-based salary review
• A broad range of professional education and personal development possibilities
• Comfortable and cozy working environment
• Motivated colleagues with profound knowledge of the technical field
• Attractive compensation package

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