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1 день назад

Senior Data Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Engineer (Cloud Data Platforms): Design and optimize scalable data pipelines integrating R&D, SAP, digital, and external data sources with an accent on data quality, governance, and high-performance architecture. Focus on automating ingestion and deployment, building business-ready data products and self-service solutions, and mentoring junior engineers.

Location: Tlalnepantla, Mexico; hybrid role

Company

hirify.global is a global leader in flavors, fragrances, food ingredients, health, and biosciences, using digital technology and data transformation to develop sustainable innovations.

What you will do

  • Design, develop, and optimize scalable data pipelines integrating R&D, SAP, digital, and external data sources.
  • Transform complex raw data into high-quality datasets for analytics, reporting, AI, and data products.
  • Architect and maintain reliable, high-performance data solutions with strong accessibility, scalability, and operational performance.
  • Automate data ingestion, processing, monitoring, and deployment workflows.
  • Partner with business and technical stakeholders to deliver data products and self-service solutions with measurable business value.
  • Implement data quality controls, monitoring, validation, governance, security, privacy, and compliance practices while mentoring junior engineers.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field.
  • 5+ years of experience in data engineering, data integration, data platform development, or related technical roles.
  • Strong SQL and Python skills for automation and large-scale data processing.
  • Extensive experience designing and managing ETL/ELT pipelines in cloud environments.
  • Hands-on experience with Snowflake, Databricks, Azure, AWS, or similar data platforms.
  • Knowledge of data modeling, data architecture, database design, performance optimization, APIs, event-driven architectures, data governance, security, and metadata management.

Nice to have

  • Experience building data products and self-service analytics solutions with tools such as Streamlit.
  • Experience supporting AI, machine learning, advanced analytics, or data science initiatives.
  • Certifications in cloud technologies, data engineering, Snowflake, Databricks, Azure, AWS, or similar platforms.

Culture & Benefits

  • Competitive compensation and benefits above statutory requirements.
  • Opportunity to work with modern cloud, analytics, and data platform technologies.
  • Exposure to global projects and collaboration with diverse international teams.
  • Career growth and continuous learning opportunities.
  • Inclusive, collaborative, and innovation-driven work environment.

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