Forter is looking for a Data Engineer to join the Business Intelligence (BI) team to create and manage BI and analytics solutions that turn data into knowledge.

Forter provides new-generation fraud prevention to meet the challenges faced by modern enterprise e-commerce. Only Forter provides fully automated, real-time Decision as a Service™ fraud prevention, with approve/decline decisions backed by a 100% chargeback guarantee. Behind the scenes, Forter’s machine learning technology combines advanced cyber intelligence with behavioral and identity analysis to create a multi-layered fraud detection mechanism. Forter’s unmatched performance and innovation are built on billions of events and dozens of terabytes of data coming from across the e-commerce lifecycle each day.

In this role, you should have a background in data and business analysis. You should be analytical and an excellent communicator. If you also have business acumen and problem-solving aptitude, we’d like to meet you.

Ultimately, you will enhance our business intelligence system to help us make better decisions.

Stuff you’ll be doing:

  • Translate business needs to technical specifications
  • Design, build and deploy BI solutions
  • Create and maintain ETL written in Python (e.g. Python/Pandas/Spark)
  • Conduct unit testing and troubleshooting
  • Evaluate and improve existing BI systems
  • Collaborate with teams to integrate systems
  • Develop and execute data flows

Stuff you’ll need:

  • Proven experience as a Data engineer/ BI Developer / Data Scientist
  • BSc/BA in Computer Science, Engineering or relevant field
  • Proven experience in python - at least 2 years of experience
  • Background in data warehouse design (dimensional modeling) 
  • In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) frameworks
  • Knowledge of SQL complex queries
  • Analytical mind with a problem-solving aptitude

Would be very cool if you have:

  • Industry experience is preferred
  • Proven experience in python (Pandas/Spark).
  • Data modeling experience
  • Background in Data streams
  • ML frameworks

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