Data Engineer (KG)
Data Engineer (KG)
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1 Vacancy
Job Description
Introduction
Job Description
The Data Engineer will work with our database architects data analysts and data scientists and will ensure optimal data architecture
and data governance is consistent throughout ongoing projects. The incumbent will also be responsible for transforming data into readable goal-driven reports / visual analytics solutions (e.g. Dashboards) for continued innovation and growth.
Objective of this Scope of Work
The incumbent will be responsible for delivering central data management governance and reporting within the Financial Surveillance Division (FinSurv) without impacting
operational procedures or systems. The successful candidate will be supporting projects and other initiatives that span across the organisation.
Designing and implementing data strategies and systemsto create and maintain the data architecture that will drive various initiatives across the organisation
Build infrastructure to automate extremely high volumes of data delivery and creatively solve data volume and scaling challenges. Contribute to the design and
architecture of innovative solutions to difficult problems.
Work with team and stakeholders to continually assess and redefine data technology stack to support changing data patterns and business use cases and to bridge the
gaps between Data teams and Business by constantly collaborating with all parties to understand data needs.
Build the infrastructure with IT which is required for optimal extraction transformation and loading of data from a wide variety of data sources using SQL and big data technologies.
Collaborate with IT to source and load a wide range of data across our business into the data lake so that it can be used by analysts and developers to develop data solutions for the business.
Develop and enhance the data ingestion framework using specified toolsets and will need to understand and continuously seek techniques to ingest data as well as ensure a high degree of quality and confidence
Assemble large complex data sets that meet functional / non-functional business requirements.
identify design and implement internal process improvements: automating manual processes optimising data delivery re-designing infrastructure for greater scalability etc.
Liaise between technical teams and specialists and business stakeholders fostering inter-departmental coordination and cooperation
Data Governance (Quality Accessibility Ownership and Security). Engage with stakeholders to obtain an understanding of their data practices to contract manage and meet expectations.
Identifies client data quality concerns conducts root cause analysis and provides feedback to the FinSurv Data Governance Board (DGB) and data management competency centres within the company.
Become a trusted advisor to stakeholders and influence decision making by providing an advisory service guidance and support on data quality practices
Maintaining a thorough understanding of the business and data strategy
Identify opportunities to influence the improvement or enhancement of business processes and methodologies by researching and recommending improvement initiatives and effective ways to operate and add value to.
Train other employees withon how to access the Data Ecosystem and how to make the best use of its contents.
Minimum Requirements
Minimum qualification Required:
An appropriate Post-Graduate qualification (BSc Engineering or similar).
Relevant programming qualifications and / or certifications
Relevant Agile certification is preferable
The following experience is required for this role:
10 - 12 years experience in a Data Engineering role building and optimising data pipelines architectures and data sets.
Constructing data acquisition warehousing and reporting solutions.
Advanced working SQL knowledge and 5 years experience working with relational databases query authoring (SQL)
Experience with a variety of databases technologies languages and visualisation engines (Power BI Tableau SAS)
3-4 years experience building analytics tools that utilise the data pipeline to provide actionable insights into customer management operational efficiency and other key business performance metrics.
Skills:
SQL
Microsoft Power BI
Databases
Data Modelling
Data Engineering
Tableau
Relational Databases
Data Lakes
Performance Metrics
Data Pipelines
OBIEE
Informatica
Teradata
Competencies:
Analysis and problem solving
Effective communication
Planning and organising
Service and stakeholder focus
Conceptual thinking
Drive for results
Attention to detail
Package & Remuneration
Salary Market Related
Employment Type
Contract
