Supply Chain Data Engineer

3 settimane fa

Montà, Italia Groupe Psa A tempo pieno

OverviewWe 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 improvement.Optimize data workflows and infrastructure to improve performance and reduce latency.Monitor and troubleshoot data pipeline performance, ensuring data quality and integrity.Develop processes / queries and automation.Create and maintain comprehensive documentation for data processes and systems.Provide ongoing support to users.Stay updated with the latest trends and technologies in data engineering and supply chain management.QualificationsBachelors degree in Computer Science, Engineering, or a related field.Knowledge of data analysis, data modelling and database management.Knowledge of Snowflake and Foundry: Understanding of Snowflakes architecture, including data warehousing concepts, virtual warehouses, and data sharing.Familiarity with data loading processes.Experience with data visualization tools (Power BI).Ideally, understanding of supply chain processes and data requirements.Ideally, previous experience in mining data as a data analyst.Strong 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.3 to 5 years of relevant work experience in data engineering or a related field.We are an equal opportunity employer.We welcome applications from people of all gender, age, ethnicity, nationality, religion, sexual orientation, and disability.#J-*****-Ljbffr

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