Degree (Honours, Masters or PHD) at a NQF level 8, 9 or 10 respectively in the area of Engineering, mathematics, statistics, computer sciences or a related field.
Relevant data engineering certifications i.e. Python, Microsoft, AWS, Hadoop, big data and cloud infrastructure.
Project management / agile certifications i.e. Scrum, Prince2.
A minimum of 6-8 years’ experience in data engineering.
A minimum of 2 years’ experience in data architecture.
A minimum of 5 years’ experience managing teams of people.
Proven experience with distributed data processing on systems i.e. Hadoop, Spark, Kafka, Hive, Nifi, Hbase.
Experience working with SQL and extensive relevant experience managing large scale data projects including briefing, scoping, testing to delivery.
Knowledge and practical experience in applying machine learning techniques.
Previous experience in project management or consulting on cross-functional projects.
An excellent understanding of information management practices including information lifecycle management, data modelling, master data management and carrying out business audits and requirements gathering.
Full job description will be supplied if you are interested and can fill above