To design, code, verify, test, document, amend, and secure data pipelines and data stores according to agreed architecture, solution designs, standards, policies and governance requirements. To monitor and report on own progress and proactively identify issues related to data engineering activities. To collaborate in reviews of work with others where appropriate
Qualifications
Qualification:
Field of Study:
Computer Science or similar
Experience Required
5-7 years Experience in building databases, warehouses, reporting and data integration solutions.
Experience in AWS / Azure
Experience building and optimising big data data-pipelines, architectures and data sets.
Experience in creating and integrating APIs (C# or Python, etc)
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
5-7 years Experience in database programming languages including SQL, PL/SQL and or appropriate data tooling.
Experience with data pipeline (SSIS)
5-7 years Understanding of data pipelining and performance optimisation, data principles, how data fits in an organisation, including customers, products and transactional information. Knowledge of integration patterns, styles, protocols and systems theory
Additional Information
Behavioural Competencies:
Adopting Practical Approaches
Articulating Information
Documenting Facts
Examining Information
Interpreting Data
Managing Tasks
Producing Output
Technical Competencies:
Big Data Frameworks and Tools
Data Engineering
Data Integrity
IT Knowledge
Stakeholder Management (IT)
Please note:
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