Data Engineer
Data Engineer
Posted on :
05-04-2025
Employer Active
1 Vacancy
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Job Description
Purpose
- Develop and maintain robust data pipelines and infrastructure to support the creation of a supply chain digital twin.
- Enable accurate realtime and predictive insights by integrating and transforming data from diverse sources
- Collaborate with crossfunctional teams to enhance supply chain visibility performance and decisionmaking through advanced data engineering practices.
Accountabilities
- Design and implement data pipelines to integrate realtime 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 optimise the digital twin enabling predictive insights and decisionmaking 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 thirdparty 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 :
- Bachelors degree in Computer Science Data Science Engineering Mathematics or a related discipline (or equivalent practical experience).
- Proficient in using SQL for designing developing and optimising 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 SQLAlchemy to support datadriven projects.
- Understanding of ETL processes and data pipeline design.
- Basic knowledge of data modelling warehousing and big data technologies.
- Strong problemsolving and analytical skills.
- Proficiency in Microsoft Office: Word Excel PowerPoint SharePoint Teams.
- Experience using virtual meeting & facilitation tools such as Zoom Mural/LucidChart/Miro Menti is advantageous.
Additional Information :
Note: 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 gender identity marital or veteran status disability or any other legally protected status.
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Employment Type :
Fulltime
Employment Type
Full-time
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