Google Cloud Platform - GCP Data Engineer
Contribute to the major transformations of companies and public actors by combining technological innovation and business expertise, serving our society and customers to help them move forward sustainably.
Your challenges for this function:
Design, develop, and maintain robust and efficient data pipelines (ETL/ELT)
Manage and optimize databases (SQL and NoSQL) to ensure data availability and integrity
Implement Big Data solutions using technologies such as Hadoop, Spark, and Kafka
Collaborate with Data Science and Business Intelligence teams to understand business needs and deliver ready-to-use data
Ensure data quality, security, and compliance (GDPR, anonymization).
Contribute to defining data architecture and implementing cloud solutions (AWS, GCP, Azure)
Automate processes and optimize the performance of data processing systems
Your skills:
Master in computer sciences / Business or equivalent experience
Excellent command of Python and SQL
Knowledge of relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra)
Experience with pipeline orchestration tools such as Apache Airflow and Luigi
Strong command of Big Data technologies: Apache Spark, Hadoop, and Kafka.
Cloud computing skills with a strong focus in Google Cloud Platform
Strong hands-on knowledge of data flows and data preparation techniques
Knowledge of relational databases including SQL Server and analytics
Notions in data visualization solutions and techniques
Practical experience with Agile
Onepoint in a few words:
In just over 20 years, Onepoint has become one of the major players in consulting and tech. Indeed, our collective has now more than 3,500 people around the world (France, Australia, Belgium, Canada, Malaysia, Morocco and Singapore). Our turnover has been multiplied by 10 in only 10 years, reaching more than 500 million euros, and aims to reach a billion euros within 4 years.