Data Engineer

1 month ago

New York, New York, United States Dupont Full time

En DuPont, trabajamos en cosas que importan, ya sea en proporcionar agua limpia a más de mil millones de personas en el planeta, producir materiales esenciales en los dispositivos tecnológicos cotidianos (desde smartphones hasta vehículos eléctricos) o proteger a los trabajadores de todo el mundo.


Si deseas ser parte de una empresa multindustrial líder que ofrece soluciones sostenibles que aportan un valor y una finalidad reales, una empresa con espíritu de colaboración en la que se valora la diversidad de pensamiento y donde existe la creencia de que se trabaja mejor cuando se trabaja en equipo, DuPont es tu empresa.


Nos complace comunicar que el 22 de mayo de 2024, DuPont anunció sus planes de separarse1 en tres empresas independientes y líderes en el sector que cotizan en bolsa.

Con este movimiento estratégico, surgirán negocios centrados con distintos perfiles de inversión.

Creemos que, con las separaciones propuestas, se crearán oportunidades para que las tres futuras empresas ofrezcan un mejor servicio a sus clientes y generen valor a largo plazo para las partes interesadas.

Se espera que este proceso se complete en un plazo de 18 a 24 meses a partir de la fecha del anuncio.

Nos comprometemos a apoyar a nuestros empleados durante esta transición y a garantizar que el proceso de separación se lleve a cabo sin dificultades y de forma exitosa.

Esperamos dar la bienvenida a nuevos talentos que tengan el interés de contribuir al éxito y crecimiento continuos de nuestra organización en evolución.


¿POR QUÉ TRABAJAR EN DUPONT?
Nuestro objetivo es empoderar al mundo con innovaciones esenciales para crecer. Trabajamos en cosas que importan.


Tendrás la oportunidad de trazar tu camino, ponerte retos y adquirir nuevas capacidades para desarrollar una carrera profesional gratificante y enriquecedora.

Recompensamos a los empleados con una remuneración competitiva e incentivos para reconocer sus habilidades, competencias y contribuciones a los resultados del negocio.


Vive la experiencia de un entorno colaborativo en el que se celebra el trabajo en equipo con una flexibilidad que mejora el equilibrio y una atmósfera inclusiva que acoge a todos.


Conoce nuestra finalidad y hazla tuya mediante la aportación de innovaciones al mercado para mejorar el mundo, comparte un compromiso con la sostenibilidad para mejorar nuestro planeta y retribuye a las comunidades en las que trabajamos y vivimos.


DuPont Electronics & Industrial business has an exciting and challenging opportunity for a Data Engineering in DuPont's Electronic Materials Chemical Mechanical Planarization (CMP) Technology group.

We are the global leader in making various consumables used to polish semiconductor wafers, which then becomes logics and memories in electronic devices, such as smart phones, computers, data center, etc.

This role specifically resides within the data science group of Advanced Characterization and Fundamentals team in CMPT R&D.

The data group focuses on designing, developing and implementing digital products and tools that are essential for making R&D lab data readily available, extracting insights from data, and making data-based decisions to accelerate new product development and support customers.

The major customers are scientists and engineers within R&D and beyond R&D, such as field service, marketing and product quality.

The group is the catalyst to drive the digital transform of CMP and using digital tools to help DuPont CMP stay cutting edge and competitive in the global market.


The ideal candidate will be highly versatile in skills blending a data engineer and data analyst roles, open minded to learn and adapt to new data technologies and characterization techniques relevant to digital product.

The candidate is expected to run and maintain the existing digital products, understand the data pipeline, and provide application support properly.

The candidate will also work on improvements of these products with sufficient guidance from experts in the company and participate in the new product development mentored by seniors, starting from building visualization reports to track key metrics and indexes and automate the process.

The candidate will be part of the DuPont's internal data science community, and work closely with leveraged IT functions within DuPont, and external consultant where necessary to satisfy customer needs.


The role provides hybrid (onsite and remote) work environment (at least 60% onsite) or fully remote, and the primary site is the experimental station at Wilmington, DE or Jhunan, Taiwan.

Key Responsibilities

Provide application and deployment support for customized built data systems, such as adding users, features, materials, and continuously improving the application by integrating user feedback, to provide scientists and engineers with the metrics and analysis they need to make strategic and tactical decisions in a timely manner.

Build dashboards/web application to visualize critical metrics and product data, automate data reporting and sharing

Facilitate in IT needs for R&D labs, as the bridge between corporate IT and scientists

Develop algorithms to analyze various analytical data (such as material mechanical data, process parameters, image, spectroscopy), visualize them and deploy the method to users, through interactive user interfaces effectively and securely

Code review as part of development and product lifecycle

Technical writing and verbal communications

Required Qualifications

BS Degree in applied mathematics, computer science, information science and technology, Electrical Engineering or related field, or Associate Degree in the relevant field with >1 year of relevant industrial work experience in an informatics related role.

Basic python programming, SQL, and data visualization (PowerBI or tableau) skills.

Preferred Qualifications
A double major or minor in STEM, such as physics, engineering, chemistry, etc.

>2 year of relevant work experience in an informatics related role post-graduation

Ability to learn independently, such as researching vendor or package documentation

Experience in Project management, such as stakeholder management, write project charters, etc.

Experience working with a global team

Automation using Microsoft tools, such as Power App and Power Automate


Has managed servers or virtual machines, such as working with virtual machine remotely, troubleshoot for IT issues involving firewalls, user permission management.

Basic knowledge using Matlab for scientific computing and visualization.

Experience in Git for collaborating on code development and issue tracking.

Experience in one web development tool or language, such as python-based web framework dashboards, KNIME, JavaScript, Php, ASP.NET at least to debug & improve existing web service

Build descriptive, predictive and prescriptive models using Big Data, statistics, machine learning across various themes

C# and REST API familiarity to maintain and deploy existing application

Experience in Apache Xampp & Microsoft IIS server environments

Experience using Microsoft Azure service platforms (e.g. Databricks, MLflow, etc)

Experience using CI/CD for automated deployment pipeline of applications

Familiar with terminals and scripting using bash

Únete a nuestra comunidad de talento para mantenerte conectado con nosotros

DuPont ofrece igualdad de oportunidades.

Se tendrá en consideración a los solicitantes cualificados sin importar la raza, el color de piel, la religión, la religión, el sexo, la orientación sexual, la identidad de género, el estado civil, la nacionalidad, la edad, la condición de veterano, la discapacidad o cualquier otro colectivo protegido.

Si necesita alguna ayuda razonable para buscar o solicitar un puesto, visite nuestra página de accesibilidad para consultar la información de contacto

(1)Las transacciones de separación están sujetas al cumplimiento de las condiciones habituales, incluida la aprobación final por parte de la Junta directiva de DuPont, la recepción de la opinión fiscal de los asesores legales, la presentación y efectividad de las declaraciones de registro del Formulario 10 ante la Comisión de Bolsa y Valores de los Estados Unidos, las aprobaciones reglamentarias aplicables y la finalización satisfactoria del financiamiento.

Para obtener más información sobre los riesgos, las incertidumbres y las suposiciones que podrían afectar el logro, el plazo esperado y los beneficios previstos de las transacciones de separación, consulta el anuncio de DuPont.

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