Engineer Data Corporate Investment Banking
Engineer Data Corporate Investment Banking
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1 Vacancy
Job Description
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
- Acquire datasets that align with business needs and requirements to enable useful and actionable information providing feedback on the clarity and completeness of data requirements. Analyse data elements and systems data flow dependenciesand relationships to ensure conceptual physical and logical data models.
- Apply subject matter expertise into decisions relating to data engineering and data integration. Educate internal stakeholders on data engineering and data integration perspectives on new approaches.
- Build required infrastructure for optimal extraction transformation and loading of data from various data sources using various technologies (i.e. AWS and SQL technologies). Build create manage and optimise data pipelines move data pipelines into production enabling data consumers to utilise data for reporting purposes.
- Collaborate with insights teams Technology engineers and Data & Analytics leadership to identify opportunities for process improvements recommend system modifications and give input to the development of policies for data governance.
- Contribute to automation initiatives and guide the identification design and implementation of internal process improvements
Qualifications :
- Degree (Business Commerce/Information Studies (Min)
Additional Information :
Experience Required: Software Engineering
57 years: Experience in building databases warehouses reporting and data integration solutions. Experience building and optimising big data datapipelines architectures and data sets. Experience in creating and integrating APIs. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
810 years: Deep 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
810 years: Experience in database programming languages including SQL PL/SQL SPARK and or appropriate data tooling. Experience with data pipeline and workflow management tools
Behavioural Competencies:
- 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
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
