Data Engineer Division: Business Support Division (Central Office) Reports to: Data Scientist at Scorpex Recruitment

Required 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