Supply Chain Data Engineer
16 minuti fa
Overview We are seeking a skilled Data Engineer to join our Supply Chain team.The ideal candidate will be responsible for designing, building, and maintaining our data infrastructure to support efficient data collection, processing, and analysis.You will work closely with various stakeholders to ensure data integrity and availability, enabling data-driven decision-making across the organization.ResponsibilitiesDesign, develop, and manage scalable and efficient data pipelines to support Supply Chain operations.Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable data models and reports for effective analysis, operational support, and decision-making.Support implementation of data storage solutions, ensuring data is stored in a secure, reliable, and accessible manner.Develop and maintain ETL (Extract, Transform, Load) processes to ensure data is accurately and efficiently transformed for analysis.Support data quality improvementOptimize data workflows and infrastructure to improve performance and reduce latency.Monitor and troubleshoot data pipeline performance, ensuring data quality and integrity.Create dashboards for data utilizationDevelop process / queries and automationCreate and maintain comprehensive documentation for data processes and systems.Provide ongoing support to usersStay updated with the latest trends and technologies in data engineering and supply chain management.ProfileBachelor's degree in Computer Science, Engineering, or a related field.Knowledge of data analysis, data modelling and database managementKnowledge of Snowflake and Foundry: Understanding of Snowflake's architecture, including data warehousing concepts, virtual warehouses, and data sharingFamiliarity with data loading processesExperience with data visualization tools (Power BI)Ideally, understanding of supply chain processes and data requirements.Ideally, previous experience in mining data as a data analystStrong analytical and problem-solving skills.Excellent communication and collaboration abilities.Ability to work in a fast-paced, dynamic environment.Detail-oriented with a focus on data quality and accuracy.EEO StatementAt Stellantis, we assess candidates based on qualifications, merit and business needs.We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability.Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.#J-*****-Ljbffr
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