To develop and maintain complete data architecture across several application platforms, provide capability across application platforms. To design, build, operationalise, secure and monitor data pipelines and data stores to applicable architecture, solution designs, standards, policies and governance requirements thus making data accessible for the evaluation and optimisation for downstream use case consumption. To execute data engineering duties according to standards, frameworks, and roadmaps
Qualifications
Information Studies or Information Technology
Basic cloud certificates - DP-203 or DP-700 DP-900
Experience:
Data modelling & warehousing experience.
Data pipelines experience - Extract, Transform and Load.
Knowledge and experience in the following tools - SSIS, SSDT, Power BI, MS SQL, Python.
Understanding of data quality issues and recon frameworks.
Performance optimisation or code reverse engineering experience.
Knowledge of setting up and using DevOps for deployments or at least better understanding of it.
Azure Cloud Experience.
Azure data engineering tools (Optional) e.g. ADF, Synapse Analytics Studio or MS Fabric
Additional Information
Behavioral Competencies:
Adopting Practical Approaches
Articulating Information
Checking Details
Developing Expertise
Documenting Facts
Embracing Change
Examining Information
Interpreting Data
Managing Tasks
Producing Output
Taking Action
Team Working
Technical Competencies:
Big Data Frameworks and Tools
Data Engineering
Data Integrity
Data Quality
IT Knowledge
Stakeholder Management (IT)
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