The Data Engineer will be responsible for tasks related to data engineering, data modeling, ETL processes, data warehousing, and data analytics on a daily basis.

Qualifications

• Data Engineering and Data Modeling skills
• Experience with Extract Transform Load (ETL) processes
• Data Warehousing and Data Analytics skills
• Strong understanding of Azure services and tools
• Experience with cloud-based data processing
• Excellent problem-solving and analytical skills
• Bachelor’s degree in Computer Science, Data Engineering, or related field
• Relevant certifications in Azure or data engineering are a plus

• Design and implement scalable and robust data pipelines to support analytics and data processing needs.
• Develop and maintain data architectures, including data lakes and data warehouses.
• Ensure data quality and consistency through data cleaning, transformation, and validation processes.
• Collaborate with data scientists and analysts to gather requirements and deliver data solutions that support business objectives.
• Optimize data retrieval and develop dashboards and reports for various user needs.
• Implement data security and privacy policies to comply with legal and regulatory requirements
• Responsible for managing data security and privacy, including implementing data security controls, such as encryption and access controls, to prevent unauthorized access to data.
• Assembling large, complex sets of data that meet non-functional and functional business requirements
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
• Collaborate with cross-functional teams, and effectively communicate technical concepts to non-technical stakeholders.
• Passion for staying up to date with the latest trends, technologies, and best practices in data engineering.

Please refer to job description.