• Develop and maintain data pipelines to move and process data from various sources.
• Work with data analysts to understand data requirements and implement data models and structures to support analytics and reporting.
• Develop and maintain ETL processes using Azure Data Factory (ADF) or other similar tools.
• Optimize data processing systems for efficiency and scalability.
• Design and implement data storage solutions using Azure SQL Server or other cloud-based databases.
• Develop and maintain data quality processes to ensure data accuracy and completeness.
• Develop and maintain codebase for data pipelines and ETL processes using Python or other programming languages.
• Develop and maintain dashboards, reports, and visualizations using Power BI.
• Monitor data processing systems to identify and troubleshoot errors and issues.
• Collaborate with stakeholders to support data-driven decision making.
• Stay up-to-date with emerging data technologies and tools.
  
  

Required Qualifications:

• Bachelor’s degree in Computer Science, Data Science, or related field.
• Strong understanding of SQL and experience with Azure SQL Server or similar databases.
• Experience with ETL tools such as Azure Data Factory (ADF) or similar tools.
• Experience with programming languages such as Python.
• Understanding of cloud-based data storage solutions such as Azure Blob Storage or similar solutions.
• Familiarity with data modelling and data architecture principles.
• Strong Power BI skills, including experience with building dashboards, reports, and visualizations.
• Ability to work in a team environment and communicate effectively with technical and non-technical stakeholders.
• Strong problem-solving and analytical skills.