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2 дня назад

Integration Engineer (CDP)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Integration Engineer (CDP): Designing, building, and maintaining robust data pipelines and system integrations with an accent on API connectivity, identity resolution, and secure data handling. Focus on implementing scalable solutions for customer data platforms and ensuring high data quality across integrated ecosystems.

Location: Guadalajara, Jalisco, Mexico

Company

hirify.global is a premier AI services provider that aligns human expertise with artificial intelligence to drive innovation and meaningful impact for clients through data-driven strategy.

What you will do

  • Design and maintain system integrations using REST APIs and other integration technologies.
  • Build and support data pipelines to enable seamless customer data movement.
  • Implement solutions for identity resolution and customer identifier management.
  • Ensure data quality, consistency, and reliability across integrated platforms.
  • Troubleshoot integration issues and optimize existing data processes.
  • Collaborate with engineering and business teams to deliver scalable data solutions.

Requirements

  • Experience building and maintaining production API integrations including REST, authentication, and error handling.
  • Strong proficiency in Python and SQL.
  • Experience working with cloud data platforms such as Snowflake.
  • Knowledge of identity resolution and secure handling of hashed identifiers.
  • Ability to work independently and take ownership of technical initiatives.

Nice to have

  • Experience with Customer Data Platforms (CDPs) like mParticle, Segment, or Braze.
  • Familiarity with marketing technology integrations and first-party data activation.
  • Experience working with media, advertising technology, or streaming platforms.
  • Knowledge of CDP governance and modern data engineering practices.

Culture & Benefits

  • Learning opportunities including certifications in AWS, Databricks, and Snowflake.
  • Access to AI learning paths and Udemy Business for professional development.
  • Mentorship programs and structured career development plans.
  • Flexible working options to support work-life balance.
  • Company-provided equipment and special day rewards for personal milestones.

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