This job listing expired on Jul 15, 2020
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There are millions of FIFA players generating billions of events every day. We are using the high-volume data streams to detect and anticipate Security threats and issues as soon as they occur. The Game Security Engineer will be a key member of the FIFA Security Team. They will be tasked with supporting the Security Data Scientists by ensuring the availability of the data needed to perform big data analysis, machine learning and visualization to find patterns and correlations that will help keep FIFA safe and secure.

We are looking for a data engineering expert able to architect, design and implement data processes that are at the center of the FIFA Security team’s operation. The candidate should be able to adopt a security mindset to predict the adversaries’ moves and ensure the right data is available to detect them.

Deliverables

  • Work with raw data, design schemas, optimize data transformation, and manage deployments and maintenance of data pipelines
  • Develop business intelligence and reporting solutions
  • Evaluate feasibility and effectiveness of proposed data solutions
  • End-to-end administration and maintain tools, systems, pipelines and ETLs
  • Communicate designs, issues and trade-offs to stakeholders

Required Experience

  • Expert knowledge and proficiency with SQL and no-SQL databases.
  • Some familiarity with machine learning, and statistical approaches to data analysis
  • Ability to think and solve complex data engineering problems in maintainable and scalable fashion
  • Knowledge and experience with several languages: Java, JavaScript, Python, R, SAS, SQL and related data gathering and analysis tools

Preferred Experience

  • A BSc/MSc in Computer Science, Mathematics, or Electrical Engineering or equivalent experience
  • Familiarity with Big Data tools such as Splunk, Hadoop, Spark, etc.
  • Exposure to Security in areas such as network/software security and a good understanding of security data, attack vectors and more
  • Experience with Visualization tools and libraries such as Tableau, SAS VA, Matplotlib, etc.
  • Software development experience