Full Stack Developer
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Job Description
Full Stack Developer delivering end-to-end data solutions for IFRC's operations across multiple domains. Focusing on developing scalable data products on Microsoft Fabric and Azure Synapse.
Responsibilities:
- Analyze business processes, data models, and reporting requirements
- Collaborate with business stakeholders to gather and refine requirements
- Design and develop Power BI dashboards and reports
- Ensure data accuracy, completeness, and consistency in reporting
- Support UAT cycles and resolve identified issues
- Publish and maintain reports in production environments
- Design and implement data models (Data Vault and Dimensional modeling)
- Develop data pipelines using SQL and PySpark
- Build and maintain data solutions on Microsoft Fabric and Azure Synapse
- Implement data quality validation and monitoring processes
- Optimize performance of queries and data pipelines
- Ensure compliance with data security and privacy standards
- Document data flows, architecture, and engineering processes
- Work with data lakes, lakehouse architectures, and big data platforms
- Support ETL/ELT processes and data pipeline orchestration
- Troubleshoot performance issues and optimize workflows
- Ensure scalable and efficient data processing solutions
- Support the Data Unit Manager with progress tracking and reporting
- Contribute to continuous improvement of data processes and tools
- Build partnerships across global teams and regions
Requirements:
- 5+ years of experience in data engineering and development
- 3+ years of hands-on experience with Microsoft Fabric / Azure Synapse and Power BI
- Strong experience in data modeling (Data Vault & Dimensional modeling)
- Experience with data lakes, lakehouse architectures, and big data platforms
- Proficiency in Python, SQL, or Java
- Hands-on experience with Apache Spark
- Experience with Azure Data Factory and Microsoft data stack
- Familiarity with CI/CD pipelines (Azure DevOps preferred)
- Experience working with large-scale data pipelines and datasets
- Understanding of data governance, security, and compliance (GDPR, etc.)
- Experience in humanitarian/non-profit sector (preferred)
Benefits:
- Competitive salary
- Flexible working hours
- Professional development budget
- Home office setup allowance
- Global team events
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