Data Engineer at Syngenta Group

pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

08 Jul, 26

Salary

0.0

Posted On

09 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Engineering, ETL, Data Pipelines, Data Modeling, Big Data, Cloud Platforms, Data Governance, Data Security, Supply Chain Optimization, Database Management, Analytical Skills, Problem Solving, Communication, Collaboration

Industry

Farming

Description

Company Description About Syngenta At Syngenta Crop Protection, we're pioneering solutions that safeguard global food security while championing sustainable agriculture. As a world market leader headquartered in Switzerland, we empower farmers with innovative crop protection technologies that defend against nature's toughest challenges. We unite advanced science with digital solutions to develop intelligent crop protection that maximizes yields while minimizing environmental impact. Join our mission of revolutionizing plant protection from seed to harvest. Job Description At Syngenta, our goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers' success. To support this mission, Syngenta’s Seeds Production and Supply team is seeking a Data Engineer in Pune. where your work will directly empower growers through smarter, faster, and more resilient supply chains. You’ll build and maintain cutting-edge data pipelines that fuel a digital twin of our supply chain—enabling real-time insights and predictive decision-making. Collaborating with cross-functional experts, you’ll transform diverse data sources into actionable intelligence that drives performance and visibility. At Syngenta, your engineering skills will help deliver innovation that matters—bringing value to growers and sustainability to agriculture. 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 environment. 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 optimize 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 optimization 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 Qualifications: Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience). Proficient in using SQL for designing, developing, and optimizing queries to manage and manipulate data effectively Skilled in Python programming for data analysis, automation, and developing efficient solutions, with experience in libraries such as Pandas, NumPy, and SQL Alchemy to support data-driven projects. Understanding of ETL processes and data pipeline design. Basic knowledge of data modelling, warehousing, and big data technologies. Strong problem-solving and analytical skills. Proficiency in Microsoft Office: Word, Excel, PowerPoint, SharePoint, Teams. Experience using virtual meeting & facilitation tools, such as Zoom, Mural/Lucid Chart/Miro, Menti, is advantageous. Desired Qualifications: Previous internship, placement, or project experience in data engineering, data science, software development, or a related field (desirable). Familiarity with database design, management and querying (SQL, NoSQL & Cypher). Exposure to cloud platforms such as AWS, Azure, Google Cloud, or Data Bricks (preferred but not essential). Excellent communication and collaboration abilities to work within a team environment. Eagerness to learn and adapt to new tools and technologies in a fast-paced environment. Additional Information Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. #LI-Hybrid

Responsibilities

Develop and maintain robust data pipelines and infrastructure to support the creation of a supply chain digital twin. Collaborate with cross-functional teams to integrate diverse data sources and enable predictive insights for supply chain performance.