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Data Engineer (Zapopan) (Puerto Vallarta)

Link-Worldwide

Overview

About the Role As 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.

Responsibilities

  • Design, 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.

Qualifications

  • Must Haves: 5+ 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 on execution 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 working in a fast-paced, evolving environment.
  • Familiarity with Python, Django, Kubernetes, PostgreSQL, DBT, Redshift, AWS.
  • English level: Upper-intermediate.

Perks and Benefits

  • Professional 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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Vacante publicada el 1 día atrás
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