As a Data Engineer, main role in the organization is to build and set up data solutions.
Being a member of a data team, you will follow IT architecture & Security guidance and practices, and will be responsible for building dedicated data flows and processes to:
▪ Ingest data into the company data platform
▪ Enhance data quality following Data Governance principles
▪ Ensure compliance with data protection law
▪ Automate data computations (for Business intelligence and Machine learning purposes)
▪ Feed operational system used by end users (Marketing, CRM, Sales solutions)
As a data specialist, you will implement cost efficient and industrialized data jobs on a hybrid infrastructure (on premise / cloud) mixing several technologies: Rest API, SQL & NoSQL databases, batch and files… with different latencies (from batch to Realtime).
Being a member of the worldwide data community, you will need to actively participate to global projects involving your country: global data platform design and evolution, subsidiary data feedback processes, agile squad features tracking and coordination meeting and stand-up.

Requirements

▪ Master’s degree in Computer Science or Data Engineering or equivalent;
▪ At least 4 years building and managing ETL and ELT processes;
▪ Advanced knowledge of data lake and data warehouse for analytical and operational purposes;
▪ Experience in working transversally in an international company and in an agile organization;
▪ Fluency in English is required.
▪ knowledge on Power BI / Tableu will be added advantage.

▪ Agile Project Management Knowledge (tracking on Azure Boards)
▪ Communication and Negotiation
▪ Ability to work autonomously
▪ Team spirit and engagement in projects
▪ Strong SQL skills: querying, procedures and basic administration tasks
▪ At least one of the following languages: C#, Python or Node.js
▪ Data modelling for Analytical purposes
▪ Data modelling for OLTP databases
▪ ETL and ELT principles
▪ Azure cloud: azure storage, azure functions, azure key vault, Api management …
▪ Distributes computation with Spark (databricks or Spark)
▪ Good understanding of python applied to Machine Learning
▪ Devops principles with CI/CD (azure devops) and infrastructure as code
▪ Rest API: Oauth, Swaggers, backend services
▪ Real or near real-time data process design and implementation