Company Description At the Syngenta Group our 56 000 people across more than 90 countries strive every day to transform agriculture through tailor-made solutions for the benefit of farmers society and our planet - making us the world s most local agricultural technology and innovation partner Purpose Develop and maintain robust data pipelines and infrastructure to support the creation of a supply chain digital twin Enable accurate real-time and predictive insights by integrating and transforming data from diverse sources Collaborate with cross-functional teams to enhance supply chain visibility performance and decision-making through advanced data engineering practices Accountabilities Design and implement data pipelines to integrate real-time and historical data from multiple sources including IoT devices ERP systems and external data feeds into the digital twin workplace Assist with data extraction transformation and loading ETL ELT processes using modern tools and frameworks Ensure the accuracy completeness and timeliness of data feeding into the digital twin by implementing robust data validation monitoring and quality assurance processes Collaborate with supply chain analysts and simulation experts to model and optimise the digital twin enabling predictive insights and decision-making for supply chain performance improvements Collaborate with data analysts data scientists and stakeholders to understand data requirements and provide technical support Develop and maintain technical documentation for data processes and infrastructure Assist in implementing and maintaining data governance and security best practices Contribute to the optimisation of databases and query performance Support the integration of third-party data sources and APIs Participate in team code reviews ensuring quality and adherence to standards Stay up to date with emerging technologies tools and best practices in data engineering Qualifications Required Knowledge Technical Skills Bachelor s

📌 Data Engineer (Pune)
🏢 SYNGENTA
📍 Pune