[FREELANCE] Data Engineer, Addressability at equativ

<div> <h3 style="margin-top: 16pt; margin-bottom: 4pt;"><span style="font-size: 14pt; font-family: Arial, sans-serif; color: #434343; font-weight: 400;">👫 About the team</span></h3> <br> <p style="margin-top: 0pt; margin-bottom: 0pt;"><span style="font-size: 11pt; font-family: Arial, sans-serif;">At Equativ, we’re on a mission to develop advertising technologies that empower our customers to reach their digital business goals. This means that we rely on massively scalable, widely distributed, highly available, and efficient software systems; the platform deals with over 3 million requests per second (+250 billion/day) managed by 3,000 servers with less than 250ms response time.</span></p> <br> <p style="margin-top: 0pt; margin-bottom: 0pt;"><span style="font-size: 11pt; font-family: Arial, sans-serif;">Our innovation team based in Paris, Nantes, Bordeaux, Limoges, Krakow and Berlin is composed of 150+ straightforward and energetic engineers working in an Agile environment and ready to tackle the most complex technical challenges.</span></p> </div> ✏️ Your mission You will join our Data Engineering team based in Paris and in charge of building our Addressability features. You will be onboarded in a multi expertise feature team of back-end developers and Data Engineers, with the mission to build and query a multi billion entry Id Graph, plug third party data providers and provide business teams with in depth behavioural analytics. What you'll do ✏️ • Integration of external partners into the graph • Evaluation of our graph vs. partners' graphs • Monitoring + failsafe to produce a stable graph • Improvement of our graph by taking more parameters into account • Design trade offs (feature vs performance) • Business support on external partners' coverage analyses • Integration of retail media IDs into the graph for simplified attribution 💪 About you • 3-4 years of seniority with a first experience on a complex modeling topic (with heavy fine-tuning) • Expert knowledge of Google Big Query or equivalent data warehouse • Business acumen and vulgarization skills, able to reframe technical analyses for senior executives and translate their needs into actionable questions • Aerospike experience is a big plus • Familiarity with Docker, Kubernetes, Cloud platforms (ideally GCP) • Able to lead design discussions and mentor others • Customer oriented approach: you deliver clean and usable solutions for customers (and you know that customers hate bugs!) • Proficient in verbal and written English • Passion for writing high quality and maintainable code following Software Craftsmanship or Continuous Delivery • Entrepreneurial spirit and know-how to identify opportunities of improvement • Personal projects with code sharing, we’re curious about your art!