Data Engineer
Feedzai
Porto, Portugal
há 5 dias

Feedzai is the market leader in managing financial risk with AI. We’re coding the future of commerce with today’s most advanced risk management platform powered by big data and machine learning.

Founded and developed by data scientists and aerospace engineers, Feedzai has one mission : to make banking and commerce safe.

The world’s largest banks, processors, and retailers use Feedzai’s fraud prevention and anti-money laundering products to manage risk, while improving customer Experience.

The Research team ensures that Feedzai continues to build the most cutting-edge Artificial Intelligence and Machine Learning Technology to fighting fraud.

Using highly scalable distributed technology, we score over 5 billion dollars of transactions / day, every single day, stopping criminals in their tracks.

Come and change the world with us.

We want your incredible talent to drive growth and help our customers be successful. You care for the quality of your work and for the success of the product you help developing.

As a Data Engineer, you are the link between raw data and our Data Scientists and Data Visualization Engineers building large-

scale systems that power machine learning and data exploration tools to fight fraud worldwide. You'll work in a multidisciplinary team spanning across engineering, data science, data visualization and product development.

Feedzaians are team players, always willing to help each other.

Responsibilities

  • Design and implement big / fast data pipelines and data processing platforms, picking and tuning the best tools for the job, based on your experience and deep knowledge.
  • Face the demands of the financial industry, from scalability to fault tolerance to data protection and security.
  • Follow the trends of technologies and best practices for Data Engineering and make use of them whenever applicable.Help to uphold our competitive edge by continuously learning and sharing your knowledge in company-
  • wide Show & Tell sessions, technical talks and a reading group for the state-of-the-art scientific papers. We also provide a training budget.

    Qualifications and Experience

  • Background in Computer Science or Software Engineering
  • Strong algorithmic thinking and programming skills (Java, Scala or Python)
  • Critical thinking and the ability to independently design and evaluate experiments and benchmarks to drive system decisions.
  • Good understanding of typical system quality requirements (scalability, privacy, latency, security, etc.)
  • Nice to Have :

  • Good understanding of Data Science subjects (Data Cleaning, Machine Learning, Statistics or Analytics)
  • Graph processing concepts and technologies (DSE Graph, Neo4J or others) are highly valued
  • RDBMS concepts and technologies and fluent in SQL (Oracle, PostgreSQL or others)
  • Non-relational storage concepts and technologies (HDFS, Cassandra or others)
  • Stream processing concepts and technologies (Storm, Flink or others)
  • Batch processing concepts and technologies (Hadoop, Spark or others)
  • Data Visualization concepts and technologies (D3, Tableau, Kibana or others)
  • Experience with Enterprise and Cloud Platforms (Cloudera, AWS, Azure, and others)
  • Systems-research experience.
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