Engineer, Data

Job Description

• The purpose of this role is to construct data acquisition, warehousing and reporting solutions. 
• The role is expected to provide technical solutions in response to the needs of stakeholders by interpreting business requirements; defining solution; defining build and test tasks; constructing solutions; performing testing; participating in the deployment of solutions and ensure the systems meet immediate business requirements by providing third tier support and constructing enhancements to systems in Production. 
• Define a task sequence that delivers value to business promptly by applying lean management, Minimum Viable Product MVP and iterative delivery concepts.
• Ensure tasks are clearly scoped, with defined acceptance criteria, to ensure clarity of what is required to complete work.
• Construct mechanisms to acquire data from a range of sources with controls that deliver to required data quality standards.
• Apply appropriate continuous integration practices to prevent defects.
• Build solutions that are aligned with the technology strategy and future proofed through appropriate coding practices.
• Ensure applicable standards are addressed in the solution design.
• Apply best data integration, warehousing and reporting practices while utilising MS SQL 2019 technology.

Qualifications

• BSc in IT, Computer Sciences or related field.
• Professional certification such as Azure Data Fundamentals can be an added advantage.

Experience :

• Building databases, warehouses and reporting solutions, Building data integration solutions
• Experience operating within an agile team
• Knowledge of Data Management, Data Warehousing concepts & methodologies familiarity with at least one of the following databases & design principles: DWH, DataLake, Lakehouse, Delta etc. will be considered an asset. Basic knowledge of web development technologies HTML, CSS, JavaScript and their integration with databases. ETL environment and understanding of ETL processes.

Additional Information:

Behavioural Competencies:

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Developing Expertise
• Documenting Facts.

Technical Competencies:

• Big Data Frameworks and Tools
• Data Engineering
• Data Integrity
• IT Knowledge
• Stakeholder Management IT.