Location: Sandton
Industry: Logistics & Supply Chain
Specialisation: Business Support Division (Central Office) Reports to: Data Scientist
Requirements / Skills
BSc Degree (in Computer Science, Engineering, Mathematics, Statistics, Information Systems or other technical/quantitative discipline)., Post graduate degree is an advantage, Microsoft certified: Azure Data Engineer/Azure Solutions Architect Associate or any equivalent cloud certifications, Any certification in data modelling, data warehousing, project management will be advantageous
Job Description
Data Engineer Division: Business Support Division (Central Office) Reports to: Data Scientist
This opportunity is within Business Support Division (Central Office) Reports to: Data Scientist. The role focuses on software development, systems administration, technical support and technology operations.
Key responsibilities:
– Ensure adherence to data standards, principles, preferences & practices. Short term deployment must align to strategic long-term delivery.
– Develop algorithms and manage data warehouse processes, visualisation and reporting using application lifecycle management (ALM) tools
– Develop data management reports for various business stakeholders in order for them to complete required analyses and make busine ss
– Develop standards and processes for database management aligned to legislation, gaming regulation requirements and security protocols
– Ensure own competence to meet changing technology and database architecture requirements remains relevant, and receive necessary
– Ensure a complete understanding of information flow and system architecture and how it relates to underlying data structures
– Analyse and diagnose issues and challenges and offer a solution in line with technical knowledge
Mandatory requirements:
– Ensure adherence to data standards, principles, preferences & practices. Short term deployment must align to strategic long-term delivery.
– Develop data management reports for various business stakeholders in order for them to complete required analyses and make busine ss
– Must be passionate about data and analytics
– Travel to units may be required
Requirements:
– Collaborate with data scientists to prepare data sets for analytical modelling
– Establish appropriate levels of co -ordination, communication and liaison with internal stakeholders to ensure database changes and
– BSc Degree (in Computer Science, Engineering, Mathematics, Statistics, Information Systems or other technical/quantitative discipline).
– Minimum 5 years of building data pipelines including at least 3 years of experience developing both multidimensional and tabular models
– Experience with data migration and integration
– Experience with developing enterprise data warehouse solutions, data modelling and development
– Core behavioural competencies Technical / proficiency competencies
– High degree of proficiency in SSIS, SQL, SSAS Cubes, DAX, MDX and building stored
– Advanced knowledge and skills in Oracle databases
– Verbal and written communication skills
– Knowledge of Agile SDLC methodology
– Ability to learn new applications and technologies quickly
– Requires specialised knowledge of techniques, equipment and processes relating to Data Architecture
Preferred:
– Experience in DevOps an advantage
– Post graduate degree is an advantage
– Any certification in data modelling, data warehousing, project management will be advantageous
This vacancy is managed by Scorpex Recruitment. Client information is confidential.