Data Engineer
Core
Design, develop, and maintain scalable data pipelines; optimize data collection, storage, and processing for large datasets.
Role type
Data Engineer
Builds
Data pipelines, data storage solutions (cloud, hybrid, on-premises)
Domain
Data Engineering, Cloud/Hybrid/On-premises Infrastructure
Deliverable
production ML models | infrastructure (via careerplan.io/jobs/744000082116255-data-engineer-at-inetum)
Required skills
Spark (PySpark), SQL, Hive, Impala, Data Warehousing, Data Lakes, Distributed Systems, Data Architecture
Preferred skills
French language proficiency
Technologies
Spark, PySpark, Cloudera, Hive, Impala
Responsibilities
Design and develop scalable data pipelines; Optimize data collection, storage, and processing; Collaborate with data scientists and analysts; Ensure data quality, integrity, and security; Implement data storage solutions in various environments.
