Data Analyst w/m

Contenu de l'offre Data Analyst w/m chez DataDome

DataDome is one of the fastest-growing tech startups in Paris. We offer a cutting edge technology that protects online businesses (websites and mobile applications) against advanced cyber attacks.

Based on AI & Machine Learning, our cybersecurity solution can detect & block the most sophisticated bot attacks, in real-time.

We're proud to protect more than 10 000 domains worldwide, including TripAdvisor, The New-York Times, Carrefour, BlaBlaCar, Rakuten, Veepee, Adevinta.

Our offices in Paris & New-York gather talents coming from 10 different nationalities. We all love our ideally located & modern offices, an accessible management team, offsite events and weekly team-building initiatives, a chill room that includes foosball, video games and a punching bag!

DataDome is #CustomerCentric, the solution is the leader on g2.com and 100% of our customers renew their subscription year after year.

Want to play your part in the war against bad bots? Join the team and become a Botbuster!

Our technical stack is mainly composed of a real-time detection layer in Java, a low latency Stream Engine running on Flink in Scala, ElasticSearch for the storage, Kafka for communication between layers, HAProxy for load balancing, Symfony 5 & Angular 9 for our dashboards.

We operate at scale and handle over 1 000 billion events per day giving responses within 3ms (99p). Currently, we are present in more than 25 data centers around the world, deployed using Docker.

Our infrastructure is deployed on AWS, Azure, Scaleway, Vultr, and GCP, using Docker, Ansible and Terraform, and monitored with Grafana and Prometheus.

This stack is currently handling 100k requests per second and manages more than 300 TB of data.

We are looking for a Data Analyst who will be in charge of analyzing the bot traffic collected by our detection platform, creating dedicated data visualizations, helping our customers to decide how to act when they are encounter bot attacks.

You will be more specifically in charge of:

Analyzing huge web traffic data sets (across more than 100 billions documents) Creating automates to detect outliers in our global traffic Working in collaboration with dev teams to continuously improve their detection engine Contributing to support Level 2 to help our customers in taking the right actions regarding their bot traffic Determining potential issue root causes and add new alerts to our detection platform

What we look for:

Have a previous experience in the Data analysis of Big Data Are fluent in English and French Have a real passion for data Have expertise on Network or Web infrastructure

Bonus points

You have a previous experience or background in cybersecurity You have already used Kibana You have worked with systems like Apache Kafka, Apache Flink or ElasticSearch You understand how internet works

By joining DataDome you will have access to:

A stimulating work environment with passionate individuals and a talented R&D team creating innovative solutions, making DataDome one of the strongest performers in the bot protection industry. A multicultural and diverse team with almost 10 different nationalities in the office! A joyful workplace with many events throughout the year : annual offsite, summer and Christmas parties; one thematic aperitif per month, breakfast every Friday morning... Remote friendly work environment : Tailor made work from home policy and joyful workplace located in Paris close to Opéra station! A Swile card and Alan Healthcare

What are the next steps?

You x Talent Acquisition Manager : first interview and cultural fit

You x VP of Engineering : technical and cultural fit + Take-homE technical challenge

You x Team: Presentation and review of your "technical proposal" with the team

You x Member of the leadership team - Discussion about Datadome vision and "raison d'être" ?

Now you really met everyone Welcome to DataDome :)

DataDome is an equal opportunity employer, and proud to be committed to diversity and inclusiveness. We will consider all qualified applicant without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.