Have a certificate or Diploma in a computer science information systems or related field.
Have 3 to 5 years of experience in a similar environment of which 1 to 2 years are now at a mid to senior level and prior experience of 5 years in data engineering or a related field of which 1 to 2 years has been at a senior level.
Have worked with data testing and analysis as well as test cases on data reconciliation.
Finance experience is an advantage as would be any banking experience.
Have developed databases data warehouses data marts and operational data stores.
Have experience in SQL languages.
Have good communication skills.
Have a strong drive to pay attention to detail.
Solution definition and problemsolving skills.
Practical experience in project management.
Familiarity with computer networks and IT security management.
Experience and knowledge of cloud computing.
Good understanding of business processes.
Strong organizational skills.
Strong understanding of analytical skills and techniques.
Excellent interpersonal communication and negotiation skills.
Knowledgeable about all phases of the software development life cycle and solution delivery for web clientserver and cloudbased systems.
Subject matter expertise in the field of work.
Good knowledge of modern software engineering principles and best practices.
Proven track record of work experience as an architect project manager or developer.
Certificates to demonstrate knowledge and competency are an advantage
Responsibilities:
Design and have implementation experience with large scale data developments data warehouses operational data stores and data marts
Understand and can design data pipelines
Create critical success factors for the accurate implementation of an architecture
Understand system specification
Understand quality data management
Can code in database and data management languages for both DML and DAL
Have a proven track record of carrying out appropriate technology architectures
Setting standards for data security
Have designed master reference and metadata solutions
Creating procedures to ensure data accuracy and accessibility
Know how to work in projects and being involved from the inception / conceptual design phase
Build sound relationships with a broader team and variety of stakeholders
Engineer and leverage processes and technologies to meet business needs
Produce consistently highquality outputs within agreed deadlines
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