Data Engineer

📋 Description

• Collaborate with the Data and AI team to design and develop data infrastructure, which includes ETL/ELT pipelines utilizing Azure Data Factory.

• Create and maintain data models, cloud data warehouses, and data lakes using Azure SQL Server and Azure SQL Database.

• Write and enhance T-SQL scripts, stored procedures, and functions for data transformation and integration purposes.

• Assist in initiatives related to data quality, governance, and security.

• Engage in the complete lifecycle of data projects, from gathering requirements to deployment and monitoring.

⛳️ Requirements

• Over 3 years of experience in data engineering, ideally with Microsoft data technologies.

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a similar field.

• Strong SQL expertise and experience with Microsoft SQL Server.

• Proficient in modern coding practices, including Visual Studio Code, Git, and testing frameworks (unit testing, regression testing, etc.).

• Familiarity with Azure Data Factory, SSIS, and/or other Microsoft Azure data services.

• Experience in designing and implementing star schema data models.

• Exceptional problem-solving abilities, attention to detail, and strong communication skills.

• Capability to work effectively in a team setting and manage multiple tasks with minimal supervision.

🏝️ Benefits

• Practical experience with real-world data engineering projects leveraging Microsoft’s data stack.

• Mentorship and support from seasoned data professionals.

• Opportunities to assume significant responsibilities and create a tangible impact.

• A collaborative and inclusive workplace culture.

• Flexible and remote work options.