We are a JSE-listed company that sells innovative technology for mobile commerce to emerging markets in South Africa and abroad. Our users are rich, poor, urban and rural, and we allow them all to interact and transact on an equal footing. We target many of our services at people who do not have easy access to bank accounts, and we allow them the convenience of being able to transact where and when they want to. At Blue Label Telecoms, we\u2019re looking for outliers. People who have a drive to better themselves, their teams and the business with every decision and interaction. We have built an organisation that recognises achievements and celebrates successes. We thrive on collaboration and offer our team members excellent work environments where enjoyment is a part of the experience.<\/p>\n
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Job Title: Data Engineer<\/strong> Job Summary:<\/strong> Requirements:<\/strong> Product:<\/strong> Risk, Regulatory, Prudential and Compliance:<\/strong> People:<\/strong> BEHAVIORAL COMPETENCIES:<\/strong> SKILLS:<\/strong><\/p>\n IT Architecture Computer Skills:<\/strong> Important Hard Skills:<\/strong> Important Soft Skills:<\/strong> EDUCATION:<\/strong>
\nLocation:<\/strong> Sandton, Gauteng, South Africa
\nReference #:<\/strong> B156
\nContract Type:<\/strong> Temporary<\/p>\n
\nResponsible for building the organisations data collection systems and processing pipelines. Oversee infrastructure, tools and frameworks used to
\nsupport the delivery of end-to-end solutions to business problems through high performing data infrastructure. Responsible for expanding and optimising the organisations data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives<\/p>\n
\nRESPONSIBILITIES:<\/strong>
\nData:<\/strong>
\nIdentify shortcomings and suggest improvements to existing processes, systems and procedures, then delivers a plan for a small element of a change management program with guidance from a project\/program manager.<\/p>\n
\nBuild analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Create data tools for analytics and data scientist team members that assist them in building and optimising xxxxxxxxx into an innovative industry leader.
\nMonitor the existing metrics, analyse data, and lead partnership with other Data and Analytics teams in an effort to identify and implement system and process improvements. Utilise data to discover tasks that can be automated and identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
\nDeveloping ETL processes that convert data into formats for consumption.<\/p>\n
\nResponsible for executing testing and validation in line with data governance and quality business requirements.<\/p>\n
\nLiaise with and collaborate with data analysts, data warehousing engineers, and data scientists in finding and applying best practices within the Data and Analytics department as well as defining the business\u2019s data requirements, which will ensure that the collected data is of a high quality and optimal for use across the department and the business at large.
\nActs as a subject matter expert from a data perspective and provides input into all decisions relating to data engineering and the use thereof. Provide guidance in terms of setting governance standards.<\/p>\n
\nStrategy
\nManages Complexity
\nEnsures Accountability
\nCollaborates
\nPlans and Aligns
\nTech Savvy<\/p>\n
\nData Integrity
\nIT Applications
\nData Analysis
\nKnowledge Classification<\/p>\n
\nRisk Management
\nPolicy and procedures
\nContract Management
\nCosting and Budgeting
\nProject Management
\nData Collection and Analysis
\nCompliance Management
\nHealth and Safety
\nCustomer and Market Analysis
\nData Control<\/p>\n
\nDatabase systems (SQL and NoSQL). Data engineer must know how to manipulate database management systems (DBMS), which is a software application that provides an interface to databases for information storage and retrieval.
\nData warehousing solutions.
\nETL tools. ETL (Extract, Transfer, Load)
\nData APIs. Allows two applications or machines to communicate with each other for a specified task.
\nPython, Java, R and Scala programming languages.
\nUnderstanding the basics of distributed systems.<\/p>\n
\nCommunication skills. Interface with machine learning engineers, data analysts,
\nCTOs, and developers. They may also work with other teams or business units to gather requirements and define the scope of a project.
\nCollaboration. Need to understand the expectations of the teams they\u2019re working with, how frequently they need to be updated, and what their pain points are.
\nPresentation skills. May be expected to perform data analysis and present their findings to stakeholders.<\/p>\n
\nMatric
\nPost Graduate Degree: Information Technology
\nPost Graduate Degree: Information Studies
\nMasters Degree: Information Technology
\nMasters Degree: Information Studies<\/p>\n