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  • Posted: Jun 6, 2022
    Deadline: Not specified
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  • Trafigura is one of the world’s leading independent commodity trading and logistics houses. We’re at the heart of the global economy. Every day and around the world, we are advancing trade - reliably, efficiently and responsibly. We see global trade as a positive force and we go further to make trade work better. PHYSICAL TRADING Trafigura does ...
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    Computer Science: Platform Engineer

    Main Purpose: We are recruiting an experienced platform DevOps engineer to support the ongoing design, development and management of an advanced data and analytics platform on AWS. The platform will support the data and analytics requirements of front office traders, research analysts and data scientists using the latest machine learning methods and both structured and unstructured data.Knowledge Skills and Abilities, Key Responsibilities:

    Knowledge, Skills and Abilities

    • Experience working on enterprise scale data / analytics platforms
    • Infrastructure as code using software such as CDK, Terraform, Cloud formation or Ansible
    • AWS architectural principles and best practices
    • AWS core components and Data & Analytics stack
    • Ability to code in Python
    • Bachelor’s degree in Computer Science, Information Systems or related subjects
    • AWS certifications are a plus

    Key Responsibilities

    • Platform DevOps
    • Incident management

    Competencies:

    • Ability to communicate effectively with a diverse set of stakeholders across business lines and technology
    • Understanding and experience implementing software engineering best practices
    • Ability to work as part of a global team utilising agile management methods

    Key Relationships and Department Overview:
    Key Relationships

    • Report to Data Science and Engineering Technical Lead
    • Work closely with data engineers and data scientists

    Key Competencies

    • Ability to communicate technical issues effectively with a diverse set of stakeholders across business lines and technology
    • Ability to think at a systems level and work closely with the Platform Lead to deliver highly scalable, robust data and analytics products and services

    go to method of application »

    Computer Science: Data Integration Engineer

    Main Purpose:
    We are recruiting a data integration engineer; who is knowledgeable in the full data integration life cycle in a complex and demanding commercial environment.  Based in Johannesburg, the engineer will be part of a global team responsible for the ingestion, management, provision of both market data, and fundamental data; for the use of business analysts, data scientists, traders and applications such as dashboards and trading systems.  

    Knowledge Skills and Abilities, Key Responsibilities

    • Data ingestion / integration, ETL/ELT data pipeline design, data modelling, data provisioning
    • Python, SQL
    • AWS data stack (E.g. S3, Redshift, EMR, Glue, Athena)
    • Experience with data related to commodities, financial markets, power generation, weather or shipping would be a plus
    • Bachelor’s degree in Computer Science, Information Systems or related subjects
    • AWS certifications are a plus
    • Experience with enterprise scale data systems

    Competencies:

    • Ability to communicate effectively with a diverse set of stakeholders across business lines and technology
    • Understanding and experience implementing software engineering best practices
    • Ability to work as part of a global team utilising agile management methods

    Key Relationships and Department Overview:

    • The Data Science and Engineering team researches, develops, and provides advanced analytics and data services to the trading business, and other commercial operations at Trafigura
    • It is comprised of Data Scientists, Data Engineers, and Quantitative Finance experts
    • It is a commercially driven, front office aligned team that works in close partnership with the trading desks, global research and enterprise technology
    • Report into the Data Science and Engineering Team Technical lead who reports into the Chief Data Scientist

    Method of Application

    Use the link(s) below to apply on company website.

     

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