Resumen del rol

Principal Data Engineer- LATAM- English Required

Requisitos y responsabilidades

Contenido del rol extraído en secciones para revisar más rápido.

Key Responsibilities

  • Design, build, and maintain large-scale data platforms and data architectures.
  • Lead the development of scalable and reliable ETL/ELT pipelines for batch and near real-time processing.
  • Architect cloud-native data solutions leveraging AWS, Azure, or GCP services.
  • Drive data modeling strategies using methodologies such as Star Schema, Snowflake Schema, and Data Vault.
  • Define and enforce data engineering best practices, coding standards, governance policies, and architectural guidelines.
  • Implement orchestration frameworks using tools such as Airflow, dbt, or similar technologies.
  • Optimize data pipelines for performance, scalability, reliability, and cost efficiency.
  • Collaborate with Data Scientists and Analytics teams to ensure high-quality, production-ready datasets.
  • Establish monitoring, observability, testing, and data quality frameworks.
  • Lead technical discussions and architectural decisions across multiple teams.
  • Conduct code reviews and mentor Data Engineers across different seniority levels.
  • Implement data security, privacy, and compliance standards aligned with industry best practices.
  • Support strategic initiatives involving analytics, machine learning, and marketing intelligence platforms.

Experience

  • 8+ years of experience in Data Engineering, Data Platforms, or Data Architecture roles.
  • Experience operating in Senior, Lead, Staff, or Principal Data Engineering positions.
  • Proven track record designing and implementing enterprise-scale data solutions.
  • Experience working in distributed and cloud-native environments.

Technical Skills

  • Expert-level SQL skills.
  • Strong Python development experience for data engineering and processing.
  • Extensive experience building ETL/ELT pipelines.
  • Hands-on experience with Airflow, dbt, or equivalent orchestration tools.
  • Strong expertise in data modeling and warehouse design.
  • Experience with modern cloud platforms:
  • AWS
  • Azure
  • GCP
  • Experience with data lakes and data warehouses.
  • Knowledge of CI/CD practices for data platforms.
  • Understanding of data governance, security, lineage, and privacy controls.
  • Familiarity with analytics and machine learning data preparation workflows.

Details

  • AWS
  • Azure
  • GCP

Soft Skills

  • Strong ownership mentality.
  • Excellent communication and stakeholder management skills.
  • Ability to lead technical initiatives and influence engineering decisions.
  • Mentoring and coaching capabilities.
  • Strategic problem-solving mindset.
  • Adaptability in fast-paced environments.
  • Strong collaboration skills across technical and business teams.

Education

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or related field.
  • Master's degree is a plus.

Language

  • Advanced English (required).
  • Ability to participate in technical discussions and stakeholder meetings with international teams.

Location

  • LATAM.
  • Mexico
  • Remote position.
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FocoData EngineeringÁrea del rol
Señal de seniorityLeadNivel del candidato
StackAWS, Azure, CI/CDSkills principales
Ubicación24 países aceptadosElegibilidad

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