As part of the data-team, you will be in charge of improving and maintaining the Data Warehouse by ingesting different data sources.
Your mission is to provide end users with data of good quality, easy to get and in a reasonable time in collaboration with analytics engineers and data scientists. Working with 6 other teammates, your achievements will be used for numerous use cases: fraud, customer support automation, reporting, features in the app, …

Duties and Responsibilities :

• Build and maintain a scalable data workflow to collect data from events (Stream Processing, Eventing), prod databases and external APIs using state of the art streaming and pipelines tools.
  Example Projects: Use PubSub Ingestion of events and binlogs to create raw exploitable data.

• Design a state-of-the-art pipeline to let internal/external users dispose of real-time data.
  Example Projects: Fraud Detection, etc…

• Design a machine learning production pipeline to monitor and deploy ML models.
  Example Projects: Maintain availability and scalability of models in production.

• You have a MSc in computer science from an engineering school or university
• You have had an experience (internship or full-time) in a data engineering or software engineering position
• You are proficient in python and have experience with SQL
• You have between 6 months and 5 years experience
• You are curious and autonomous

Nice to have :

• You have already worked with airflow or Luigi.
• You have experience building ETL pipelines.
• You have worked and released projects on GCP.
• You have already worked with Kafka or Pubsub.

• Initial interview by phone with the Recruitment Team.
• Technical Case Study.
• Technical and fit interviews at Lydia with the Data Team Manager.
• Second round of interviews with the CTO.
• Please apply using this Link https://lydiasolutions.teamtailor.com/jobs