Data Engineering Specialist at Discovery Limited

Key Purpose

The Discovery People Analytics team is accountable for all science-based analytics and related assets that are Smart, Targeted and Advanced insights that guides and informs strategic talent decision making and actionable outcomes.

As part of this team, you will work with the functional owners who are positioned in the Centres of Excellence, HR Business Partners and Community, Business, and other Business Analytics teams to ensure that all Analytics services and assets are delivered across the employee life cycle metrics. The process followed to adhere to business requirements and prioritized as per agreed roadmaps.

Areas of responsibility may include but not limited to

• Design, develops, construct, test and maintain large scale data management systems. This includes

  • data warehousing

  • ETL processing

  • SSRS reporting

  • Understanding data pipeline architecture

  • Working with metadata

  • Workforce Analytics cube

  • or any future big data lakes

• Ensure system meet business requirements and Master Data standards

• Implement ways to improve data reliability and quality

• Design and maintain and implement Extraction, Load and Transform (ETL) processes

• Enhance data collection procedures from heterogeneous data sources into the data warehouse

• Collaborate with business Data engineers on technical aspects of source systems data integration.

• Document detailed data dictionaries and source to target mappings specifications

• Employ a variety of data science languages and tools to marry systems together (parallel processing from different source systems)

• Maintain data integrity and security

• Derive metrics and visualizations for effective insights

• Development of Dashboards and Assets

Personal Attributes and Skills

• Analytical

• Multi-disciplined – Computer Science, Mathematics, Statistics

• Critical thinker and Problem Solver

• Verbal & written communication

• Team-Oriented and Collaborative

• Execution oriented

• Proactive and resourceful

Education and Experience

Essential

• Bachelor’s Degree in informatics/Analytics

• 5 years’ experience with Data Lakes and SQL

• 5 years’ experience in Data Modelling and Data Mining

• 3 years’ experience in Dashboard design, storytelling and development

• 3 years managing analytics projects from inception to Go-Live

Advantageous

• Experience with Success Factors Data

• Understanding of HR principles and concepts advantageous

• Python programming

• ETL development

• Experience in Microsoft Azure environment

• MapReduce processing

EMPLOYMENT EQUITY   
                             
The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.