17 часов назад
Senior Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (AI): Building and optimizing scalable data solutions, automated Databricks or Snowflake pipelines, and data models for analytics and reporting with an accent on maintainable code, reusable components, and reliable datasets. Focus on refactoring legacy codebases, consolidating KPIs into standardized structures, and ensuring data quality, performance, and pipeline reliability.
Location: Guadalajara, Jalisco, Mexico
Company
is an AI services provider that combines data science, artificial intelligence, technology, and human expertise to create data-driven solutions for clients.
What you will do
- Maintain, optimize, and automate GitHub code repositories and refactor legacy codebases.
- Design modular, reusable code components that reduce duplication across use cases.
- Develop and manage automated data pipelines in Databricks or Snowflake.
- Consolidate KPIs, metrics, and attributes into standardized data structures for analytics.
- Build scalable data models for current and future journey analytics and reporting use cases.
- Improve data quality, performance, reliability, and data architecture in collaboration with analytics and engineering teams.
Requirements
- At least 5+ years of experience in data engineering or similar roles.
- Strong experience with GitHub repositories and version control workflows.
- Hands-on experience building and maintaining data pipelines in Databricks or Snowflake.
- Experience refactoring legacy codebases and designing reusable components.
- Strong understanding of scalable data modeling for analytics and reporting.
- Excellent written and verbal English is required, along with the ability to work independently and take ownership of initiatives.
Culture & Benefits
- Certifications and learning opportunities in AWS, Databricks, Snowflake, and AI.
- Access to study plans, courses, Udemy Business, and role-specific development programs.
- English lessons, mentoring, and career development plans.
- Flexible working options and company-provided equipment.
- Opportunities to attend industry conferences and meet clients.
- Benefits may vary by location within LATAM.
Hiring process
- Submit a resume or LinkedIn profile for review.
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