To design, code, test, debug, and maintain programs in development environments. Apply agreed standards and tools, to achieve a well-engineers result. Work within a strict framework of programming standards under supervision of senior technical resources.
Qualifications
A Degree in Information Technology
MS certificates:
DP-900 & DP-203 or DP-700
Experience Required:
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 and Azure data engineering tools such as ADF, Synapse Analytics Studio
.
Additional Information
Behavioural Competencies:
Adopting Practical Approaches
Articulating Information
Checking Things
Developing Expertise
Documenting Facts
Embracing Change
Examining Information
Interpreting Data
Managing Tasks
Producing Output
Taking Action
Team Working
Technical Competencies:
Agile Engineering
API Engineering
Automation
Cloud Computing
Continuous Delivery (CD)
Continuous Deployment
Continuous Integration (CI)
Core Systems
Data Engineering
Design Thinking
Error Budgets
Incident Response
Infrastructure as Code (IaC)
Knowledge Management
Microservices
Non-abstract Large System Design (NALSD)
Observability (Application and Web Analytics)
Platform Engineering
Policy as Code
Post-incidence Analysis
Reliability and Resilience
Security Engineering
Service Level Management
Software Engineering Methods
Software Engineering Service Level Management
Software Engineering Tools
Software Foundations
System Integration
Test-driven Design (TDD)
Threat Modelling
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