Job Description

Our client is looking for an accomplished Data Engineer to join their Feature Team focused on Purchasing and Supplier Network: Volume and Capacity Management.This role calls for a hands-on expert with deep experience in data science, mathematical modeling, and advanced analytics infrastructure.The ideal candidate is both a technical leader and a problem solver who thrives in complex environments and delivers strategic data-driven insights and scalable machine learning solutions.xe2x9cx85 Amazing brand with cutting-edge technology
xe2x9cx85 Excellent teams in Global team collaboration
xe2x9cx85 High work-life balance with Flexible hours
xe2x9cx85 Agile working environmentPOSITION: Contract until December 2027EXPERIENCE: 6-8 Years related working experienceCOMMENCEMENT: 01 June 2025Qualifications10+ years extensive experience within the data science industry in a fast-paced and complex business setting and with leading teamsExtensive experience in Machine Learning solving business problemsMasterxe2x80x99s degree (related to data engineering, statistics, mathematical modelling)Preferable PhD Degree (related to data engineering, statistics, mathematical modelling)Essential SkillsStrong background in mathematics and good analytical and problem-solving skillsData Science and Mathematical competencyGeneral AWS experience in the DataScience / big data contextAbility to code in Python and RAdvantageous SkillsFamiliarity with ecosystem components including:Hadoop Map Reduce, Spark, Hive, Sqoop, Pig, HDFS, HBase, Cassandra, ZooKeeper, Oozie, Hue, Impala, and FlumeRole and ResponsibilitiesImplements analytical algorithms for mixed integer linear programming problemsResponsible for large-scale calculations of core datasets used in a production environmentDeep understanding of mathematical models and statistical frameworks for machine learning optimizationOperates effectively in large-scale parallel computing environmentsDiscovers insights and identifies business opportunities using algorithmic, statistical, and mining techniquesDrives innovation by leveraging extensive data to propose cutting-edge IT solutionsEstablishes accurate and scalable analytics systemsInterprets the results of statistical and predictive experiments and regression analysis and integrates this into complex business processesConducts customer specification studies, gathers requirements, and translates them into end solutions through system designProvides full lifecycle development, deployment, and operational support for Big Data solutionsCollaborates with team members to automate and deploy analytics solutions into Big Data clustersUses Sqoop to import/export data between HDFS and relational databasesCodes and tests standardisation, normalisation, extraction, loading, and AVRO models for data filtering and validationInstalls, configures, and utilises advanced Big Data ecosystem toolsPLEASE NOTE:By applying for this role, you consent to be added to the iSanqa database and to receive updates until you unsubscribe.
Also note, that if you have not received a response from us within 2 weeks, your application was unsuccessful.
Candidates MUST be based in Gauteng or WILLING TO RELOCATE!#iSanqaResourcing #DataEngineer #MachineLearning #BigData #VolumeAndCapacityManagement #Python #R #AWS #Hadoop #Spark #iSanqaCareers #HiringNow #AnalyticsJobs #TechJobs #PredictiveModeling #SupplyChainData #DataScience #FuelledByPassionIntegrityExcellence

iSanqa Resourcing