1 день назад
Senior Data Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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