Data Engineer

JD:

• Design, implement and monitor complex data pipelines using ELT processes • Understand business requests and needs, and translate them into data engineering tasks to build useful datasets • Work with a large internal data team to build the best efficient Cloud Data Warehouse in the world • Investigate new technologies that may be relevant in Stellantis context SKILLS Soft skills • Combination of business focus, analytical and problem solving skills in order to quickly define a data-driven solution within different initiatives • Ability to work within a team and with a proactive attitude • Ability to communicate and popularize technical topics Tech skills Primary skills • Strong programming skills in Python and SQL • Strong knowledge of Database Management Systems (RDBMS, NoSQL ) and Big Data architectures (Spark, Hadoop, Hive ) Job Description • Familiarity with the use of some of the following Cloud Data Warehouses: Snowflake, Databricks, BigQuery, Amazon Redshift • Knowledge of DevOps and orchestrator tools (code versioning, CI/CD, Docker, Kubernetes, Airflow )