обновлено 22 дня назад
Data Engineer (Manufacturing)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Manufacturing) (Data Lakes/Pipelines): Building and maintaining data pipelines and curated data lake datasets that support analytics and data-driven manufacturing decisions with an accent on scalable architecture, complex data integration, and high-performance frameworks. Focus on integrating factory data from multiple source systems, analyzing machine and process behavior, and deploying reliable data solutions across Back End sites.
Location: Cabuyao, Philippines; onsite
Company
operates manufacturing-focused teams that use data engineering to support analytics and data-driven decision-making across Back End sites.
What you will do
- Understand factory operations, manufacturing processes, and available data to identify improvement opportunities.
- Define required datasets and collaborate with connectivity engineers and stakeholders to acquire source data.
- Design, build, maintain, and optimize scalable data pipeline architectures and data lake solutions.
- Develop and manage large, complex datasets, including data preparation, wrangling, mining, and transformation.
- Deploy, monitor, and continuously improve data solutions that support BI, data science, machine analysis, and process understanding.
- Document pipeline designs, data flows, and related technical specifications while collaborating with architects, data modeling teams, engineering, manufacturing, and quality teams.
Requirements
- Graduate degree in Engineering, preferably Mechanical Engineering, Industrial Engineering, Computer Science, or a related field.
- 4–8 years of experience in Data Engineering or a related field.
- Experience building and optimizing data pipelines and data lake architectures, preferably in a manufacturing or industrial environment.
- Knowledge of big data tools such as Spark, Delta, CDC, NiFi, and Kafka.
- Strong SQL and NoSQL skills, including Oracle, Hive, and Spark SQL, plus programming experience in Python, Scala, Java, or C++.
- Experience with Power BI or Tableau, complex dataset analysis, scalable data structures, stream processing, and message queuing.
Culture & Benefits
- Competitive salary and benefits package.
- Professional development and growth opportunities.
- Commitment to workplace safety, employee well-being, diversity, and inclusion.
- Inclusive and accessible recruitment process with reasonable adjustments available upon request.
- Opportunities to join global and local employee resource groups.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →