Data Engineer at Gold Fields Limited

Minimum Requirements:

• Bachelor’s degree in Computer Science; Statistics; Information Systems or any other relevant quantitative data field

• 5 years’ experience in a mining; technology; financial/banking environment

• Experience working with query authoring, relational and non-relational databases, and a familiarity with a variety of databases

• Experience developing, managing, and optimizing big data architectures, pipelines and tools (incl. include Hadoop, MongoDB, PostgreSQL, Redis and Kafka)

• Experience performing internal and external root cause analysis

• Experience working with cloud-based data solutions (e.g., AWS, EC2, EMR, RDS, and Redshift)

• Proven experience successfully manipulating, processing, and extracting value from large and disconnected data sets

• Experience with automation and configuration management

• System monitoring, alerting, and dashboarding experience

• Be in possession of valid driver’s license, Code 08 (EB).

• Be declared medically fit for the position and environment, as determined by a risk-based medical examination at the Gold Fields Occupational Health Centre and pass a Heat Tolerance Screening test, and such other tests as may be required to assess the applicant’s suitability for employment.

Key Competencies:

• Database systems (SQL and NoSQL)

• Data warehousing solutions.

• ETL tools.

• Data APIs.

• Proficiency in coding languages such as SQL, NoSQL, Python, Java, R, and Scala.

• Securely managing and storing data to protect it from loss or theft.

• Understanding of the mining value chain to identify and execute on opportunities of value creation where technical expertise can enhance business performance.

• Project Management.

• Demonstrated experience in a people leadership role (transformational) within a technical environment, including the coordination of knowledge sharing across disciplines, managing workload, and reviewing the work of others to ensure consistency with task requirements.

• Building relationships and fostering cross-boundary collaboration.

• Resilience and the ability to adapt to change and deal with some degree of ambiguity.

• Deepening self-awareness and applying influencing techniques that gain commitment and support.

• Understand business requirements and where data fits into the business model.

• Ability to work under pressure.

Duties and Responsibilities:

• Enhancing existing technologies (control systems) and the implementation of effective operational process controls systems (Underground) that will support rigorous data analysis and capability building programmes to enhance its effectiveness.

• Analyse and organise raw data by converting unstructured data into an existing structured data model.

• Implement data pipelines which will encapsulate design of systems for processing and storing data.

• Create, test, maintain and optimise database pipeline architectures.

• Build the infrastructure required for optimal extraction, transformation, storing and loading of data from a wide variety of data sources using SQL and Cloud-database computing technologies (i.e. AWS)

• optimising or even re-designing our operations data architecture by provisioning future cloud-based DataMart solution technologies to support the digital mine of the future strategy.

• Build algorithms and pipelines that make it easier for anyone in the organisation to access raw data.

• Develop algorithms to transform raw data into useful, actionable structured information.

• Assemble large, complex data sets that meet business requirements.

• Collaborate with management to understand company objectives to assist with data-related issues and support new functional data infrastructure needs.

• Manage and maintain data flow of operational performance and technical management systems reporting data processes and participate in collaboration sessions with technical teams, Business Improvement, suppliers and related teams to shape the development of universal reporting platforms, systems and metrices.

• Learn and apply knowledge in the technical management system design environment to drive innovative pathways in developing and refining approaches to establish a much-improved data collection to provide insights into operational efficiency and other key business performance metrics for information systems reporting.

• Network with key internal and external stakeholders in the Mining, Engineering, Services and Projects functions to Identify, design, and implement internal process improvements.

• Support third party application developers, database stewards, solutions process architects and business analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing digitalisation projects.

• Analyse situations and data; anticipate, and diagnose problems,

• Provide solutions aimed at the improvement of processes, systems and work methods that meet internal and/or external customer requirements.

• Perform complex data analysis to find trends and patterns and reporting on the results in the form of dashboards, reports and data visualizations.

• Create new data validation methods and data analysis tools.

Closing Date: 15 December 2021