Data Engineer (Remote)

Synodus is a company seeking a Data Engineer to design, develop, and maintain data pipelines and data warehousing solutions on Azure. The role involves optimizing ETL processes, integrating data from various sources, and collaborating with cross-functional teams to ensure data quality and security.

Responsibilities:

• Design, develop, and maintain data pipelines using Azure Data Factory
• Build and optimize data models and data warehousing solutions on Azure SQL
• Develop and maintain ETL/ELT processes to ensure efficient data flow
• Integrate data from various sources via API Integration
• Work with Azure Data Lake Storage Gen2 for large-scale data storage and processing
• Develop dashboards and reports using Power BI
• Write and optimize complex SQL queries and Stored Procedures
• Automate workflows and integrations using Azure Logic Apps
• Implement data models and analytics solutions using Azure Analysis Services
• Manage source code and version control using Azure Repos
• Set up and maintain CI/CD pipelines using: Azure Pipelines, Azure Releases
• Ensure data quality, integrity, and security across all data systems
• Collaborate with cross-functional teams including Business Analysts, Data Analysts, and Developers

Requirements:

• Strong experience in Python development
• Hands-on experience with: Azure Data Factory, Azure SQL, Azure Data Lake Storage Gen2
• Strong expertise in SQL and Stored Procedures
• Experience with API Integration
• Proficiency in Power BI for data visualization and reporting
• Experience with: Azure Logic Apps, Azure Analysis Services
• Familiarity with Azure DevOps tools: Azure Repos, Azure Pipelines, Azure Releases
• Solid understanding of data warehousing and ETL/ELT concepts
• Strong problem-solving and analytical skills
• Ability to communicate effectively in English (B2 level or above)