Data Engineer/Scientist (Senior) - Gauteng/Hybrid - ISB4300659
Data Engineer/Scientist (Senior) - Gauteng/Hybrid - ISB4300659
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1 Vacancy
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.
Amazing brand with cutting-edge technology
Excellent teams in Global team collaboration
High work-life balance with Flexible hours
Agile working environment
POSITION: Contract until December 2027
EXPERIENCE: 6-8 Years related working experience
COMMENCEMENT: 01 June 2025
Qualifications
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10 years extensive experience within the data science industry in a fast-paced and complex business setting and with leading teams
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Extensive experience in Machine Learning solving business problems
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Masters degree (related to data engineering statistics mathematical modelling)
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Preferable PhD Degree (related to data engineering statistics mathematical modelling)
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Strong background in mathematics and good analytical and problem-solving skills
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Data Science and Mathematical competency
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General AWS experience in the DataScience / big data context
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Ability to code in Python and R
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Familiarity with ecosystem components including:
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Hadoop Map Reduce Spark Hive Sqoop Pig HDFS HBase Cassandra ZooKeeper Oozie Hue Impala and Flume
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Implements analytical algorithms for mixed integer linear programming problems
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Responsible for large-scale calculations of core datasets used in a production environment
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Deep understanding of mathematical models and statistical frameworks for machine learning optimization
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Operates effectively in large-scale parallel computing environments
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Discovers insights and identifies business opportunities using algorithmic statistical and mining techniques
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Drives innovation by leveraging extensive data to propose cutting-edge IT solutions
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Establishes accurate and scalable analytics systems
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Interprets the results of statistical and predictive experiments and regression analysis and integrates this into complex business processes
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Conducts customer specification studies gathers requirements and translates them into end solutions through system design
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Provides full lifecycle development deployment and operational support for Big Data solutions
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Collaborates with team members to automate and deploy analytics solutions into Big Data clusters
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Uses Sqoop to import/export data between HDFS and relational databases
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Codes and tests standardisation normalisation extraction loading and AVRO models for data filtering and validation
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Installs configures and utilises advanced Big Data ecosystem tools
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Candidates MUST be based in Gauteng or WILLING TO RELOCATE!
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iSanqa is your trusted Level 2 BEE recruitment partner dedicated to continuous improvement in delivering exceptional service. Specializing in seamless placements for permanent staff temporary resources and efficient contract management and billing facilitation iSanqa Resourcing is powered by a team of professionals with an outstanding track record. With over 100 years of combined experience we are committed to evolving our practices to ensure ongoing excellence.
Employment Type
Full Time
