Data Engineer

Key purpose:

To ensure effective movement, collection, integration, storage and provisioning of data to meet business objectives through sound understanding of business unit requirements and frequent collaboration with relevant stakeholders (such as Enterprise Architecture, Database and Solution Architects, Business Intelligence Developers, Data Scientists and Product Owners, etc)

Duties and responsibilities:

• Control expenditure and identify process improvements to contain and reduce costs
• Manage acquisition, consumption and deployment of data for operational use
• Provide required support in designing and developing systems and solutions
• Contribute to business analysis processes
• Manage data and system integration and testing
• Conduct research on architectural systems
• Develop, encourage and nurture collaborative relationships across area of specialisation
• Participate in planned activities that are appropriate for own development
• Build working relationships across teams and functional lines to enhance work delivery, collaboration and innovation

Qualifications and experience:

• Minimum Qualification - Bachelors Degree in Computer Science, Engineering or Information Systems
• Experience - 3 to 5 years in Extract, Transform and Load (ETL) of data from source systems or experience in data integration for consumption use cases
• SAS
• Teradata
• Ab Initio
• Python, PySpark SQL, Scala
• SQL, ETL development, and Data warehousing
• Python, PySpark SQL, Scala