ABOUT THE ROLEAs a Data Engineer, you will design and scale high-performance ELT pipelines that power a centralized data warehouse and enable reliable, data-driven decision-making across the organization.You'll collaborate closely with cross-functional teams to build a robust, scalable data platform, ensuring data quality, accessibility, and performance.This role offers strong ownership, architectural influence, and the opportunity to shape data systems, best practices, and a growing data-driven culture.WHAT YOU WILL DODesign, build, and optimize high-volume, high-performance ELT pipelines for a centralized data warehouse; Collaborate with Product, ML Engineers, Data Scientists, and DevOps to define scalable and secure data platform architecture; Own key data warehouse components including development, deployment, monitoring, and continuous improvement; Provide technical leadership through data architecture reviews and system design discussions; Contribute to engineering culture and data-driven best practices; Support internal and external stakeholders with a focus on data accessibility and usability; Mentor team members and participate in hiring processes.MUST HAVES5+ years of experience in data engineering building scalable systems and pipelines; Expert proficiency in SQL and strong coding skills in Python ; Hands-on experience with data warehousing, data lakes, and large-scale data systems ; Strong understanding of computer science fundamentals (data structures, algorithms, distributed systems) ; Solid understanding of distributed system architecture focusing on availability, reliability, and performance; Strong focus onexecution and product delivery; Exceptional attention to detail and quality; Strong communication skills; Ability to mentor and support other engineers; Leadership mindset with ability to take initiative and deliver results; Comfort workingin a fast-paced, evolving environment; Familiarity with Python, Django, Kubernetes, PostgreSQL, DBT, Redshift, AWS; Upper-intermediate English level .
PERKS AND BENEFITSProfessional growth: Mentorship, TechTalks, and personalized growth roadmaps.Competitive compensation: USD-based pay with education, fitness, and team activity budgets.Exciting projects: Modern solutions with Fortune 500 and top product companies.Flextime: Adaptable schedule with remote and office options.
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📌 Data Engineer Id52278 (Santiago de Querétaro)
🏢 Agileengine
📍 Santiago de Querétaro