Job Description

Our client has an opportunity available for a Data Engineer based in Pretoria.

Requirements:

• Bachelor's or Honour's degree in Computer Science, Engineering or equivalent experience.
• 4+ years' experience in software development and data management disciplines.
• Project Management experience.
• Proficient in Java, C/C++, or Python.
• Valid driver's license.
• Advanced working Python knowledge and experience working with relational databases.
• Experience building and optimizing data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data.
• Experience supporting and working with cross-functional teams in a dynamic environment.

• Drive automation in data integration and management.
• Track data consumption patterns, preparation and integration tasks to identify the most common, repeatable tasks.
• Prioritize opportunities for automation to minimize manual and error-prone processes.
• Promote reuse of content and data through a centralized portal, catalogue or other system.
• Build, manage and maintain data pipelines and architecture.
• Match appropriate data sources to identified analytics use cases.
• Integrate data from multiple sources into a single source or system.
• Contribute to educational programs to increase accessibility for analytic team and users.
• Contribute to educational programs to increase accessibility for analytic team and users.
• Collaborate with IT and other departments to gain access to enterprise-wide data systems.
• Work closely with data scientists and marketing analysts to define data requirements for analytics projects.
• Recommend methods to continuously optimise data collection processes.
• Identify, design, and implement internal process improvements.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, GCP, Azure 'Big Data' technologies.
• Build analytics tools that utilize the data pipeline.
• Work with stakeholder teams to assist with data-related technical issues and support their data infrastructure needs.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Create data tools for analytics and data scientist team members.

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