Engineer, Data

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)

Remote Work :

No

Employment Type :

Full-time