Data Engineer GCP – DataOps Project
Context: This mission is part of the Data
Ops project. The Data Engineer will work closely with the application production/Dev
Ops teams to technically implement business requests and develop the Data platform.
Main Responsibilities- Implement new data ingestion processes. Perform data preparation and transformation operations. Maintain and develop data pipelines. Participate in the technical evolution of the platform. Formalize and submit change requests to the Dev
- Contribute to the maintenance and improvement of existing data solutions. Write clear and precise technical specifications.
- GCP – Google Cloud Platform Big
- Cloud Storage SQL Object-oriented Python Pandas and/or Dask Bash scripting Git. Experience in an Agile/Scrum environment is also expected. Professional English, both written and spoken, is essential . Preferred/Differentiating Skills: The following technologies are additional assets: Cloud Functions – SAS – Alteryx – XLD/XLR – Control-M – Hadoop – Spark.
We are looking for a Data Engineer with ideally 3 to 6 years of experience, possessing particularly strong expertise in the GCP/Big
Query/Python/SQL ecosystem. The candidate must be highly operational in data development and processing and able to thrive in a dynamic technical environment. The client is also seeking a consultant who demonstrates autonomy, initiative, strong analytical and problem-solving skills, excellent interpersonal skills, and a genuine ability to work effectively in a team. Technical curiosity and a proactive approach are highly valued.
Application: CV + cover letter + copies of diplomas to be sent to
#J-18808-Ljbffr