WHAT YOU’LL DO

You will create and build a proper data infrastructure from scratch and tools so your stakeholders can leverage the mountain of data we generate :

• Real-time streaming infrastructure: to allow our core services to work on accurate data with minimal delays.
• Machine learning infrastructure: to enable our Data Science and Backend engineering teams to implement models on top of large datasets
• BI infrastructure: to enable anyone in the company to have access to the right data.

Big Data’s world is evolving fast so you’ll ensure our infrastructure’s sustainability, scalability and efficiency by updating constantly your knowledge.

You will boost our culture about data by sharing your knowledge to both your peers and engineers from other specialities.

This “list” is not exhaustive right? You’ll be the one to design the future of the role depending on choices you’ll propose.

REQUIREMENTS

• At least 3 years of experience in working with huge data sets.
• Already designed and implemented robust distributed systems (Kafka, Akka, SparkStreaming, Storm…)
• Experience with the Hadoop ecosystem
• Proficiency in at least one of the languages: Scala, Python, Java.
• Expert level proficiency in SQL.
• Experience with NoSQL databases (Cassandra, HBase, MongoDb…), strong familiarity how they works internally.
• Ability to perform complex data analysis with large volumes of data.
• Rigor in test coverage, and other best practices.
• Great oral and written communication skills.
• Familiar with startups: you’re not afraid of wearing many different hats and know when corners shouldn’t or should be cut.