Data engineer / Machine learning engineer

Job description

À propos

Nyctale is an innovative startup in the fields of Data Science and Blockchain technologies. We develop advanced analytics tools to analyze the usages, measure the value, and control the money flows on these new transactional networks. We valorize our expertise in Machine Learning and Deep Learning applied to graph data to deliver the needed interpretation tools to understand blockchain systems. Our SaaS platform targets application providers and financial institutions. Nyctale supports the development of decentralized applications by providing strategic insights to structuring actors of this emerging and promising industry.

Working at Nyctale means participating in the development of a growing start-up within a dynamic team while remaining close to the founders. There will be lots to learn and get to experience first-hand what it takes to get a new high-growth business off the ground. In your role, you’ll have the opportunity to hit the ground running and take ownership from day one. We will always welcome your inputs and ideas and actively encourage your development. The team is fast paced, hard-working and expects results, but we also highly value our employee engagement and are committed to a human and empathetic environment. You will enjoy a pleasant co-working space, located at Station F (5 Parvis Alan Turing, 75013 Paris) within a stimulating start-up ecosystem of start-up ultra-stimulating.

Descriptif du poste

Data is the fuel of Nyctale, its high quality is essential. Thus, we are looking for a data engineer to ensure the data to be properly administered, up-to-date, well documented, and easily requestable. Once in our team, you will:

·  Implement and maintain data extraction, processing and storage processes in large scale data systems (data pipelines, data warehouses) for internal needs, customer’s analytics, and reporting features;
·  Work closely with Data Scientists and help them to implement and maintain machine learning systems (feature generation, learning, evaluation, publishing);
·  Work closely with the CTO to define and implement the evolution of our data architecture;
·  Design, build and launch new data models and datasets in production;
·  Optimize performance related to slow queries and algorithm;
·  Enjoy a fast-paced work environment.

Profil recherché

·  2+ years of experience in a Data Engineer role;
·  Proficient with AWS (EMR, RDS, S3, Athena, etc.);
·  Proficient with Spark and SQL;
·  Deep familiarity with distributed processing and more generally with big data technologies;
·  Experience with configuration and maintenance of distributed computing systems such as Spark cluster;
·  Innately curious and organized to analyze data and identify deliverables’ anomalies, while proposing solutions to address these findings;
·  Mastery of the environment used: Linux;
·  Mastery of languages used: Python, Bash, Scala;
·  Mastery of practical tools: Docker, Git;
·  Experience with graph databases is also a huge plus;
·  Understanding of blockchain concepts is plus;
·  We highly value previous professional experiences.

Process de recrutement

An interview with each of the founders (one of which will be technical) and a meeting with the team around a beer (or a non alcoholic beverage of your choice) at La felicità, next to Station F.

Informations complémentaires

·  Type de contrat : CDI
·  Date de début : 07 septembre 2020
·  Lieu : Paris, France (75013)
·  Niveau d'études : Bac +5 / Master
·  Expérience : > 2 ans
·  Télétravail ponctuel autorisé