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8 дней назад

Associate Manager - Tax Data Engineer (AI)

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

Текст:
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TL;DR
Associate Manager - Tax Data Engineer (AI): Building and operating scalable tax data pipelines, models, and warehouse structures for company-wide analytics and decision-making with an accent on ETL/ELT, data quality, and AI-assisted automation. Focus on designing reliable data systems with DBT, Snowflake, Python, and modern orchestration tools while validating data sources and resolving reliability issues.

Location: Mexico City, Mexico

Company

hirify.global operates a growing global business with multiple business lines and relies on data systems for analytics and decision-making.

What you will do

  • Design, build, and maintain scalable ETL/ELT data pipelines.
  • Develop and optimize data models and warehouse structures for analytics and reporting.
  • Ingest, transform, control, and validate data from new and existing sources.
  • Collaborate with Analytics, Data Science, and business partners on new initiatives and requirements.
  • Use AI-assisted tooling to automate recurring data tasks and pipelines.
  • Monitor data quality, reliability, and observability, resolve data issues, and document systems and processes.

Requirements

  • 5+ years of experience in data engineering or a similar role.
  • Experience with DBT or a similar data-flow management product.
  • Expertise in SQL and experience with Snowflake.
  • Proficiency in Python or a comparable programming language for data pipelines.
  • Experience with modern data-stack and orchestration tools such as Airflow, Spark, or Kafka.
  • Strong analytical, organizational, communication, project-management, and problem-solving skills; a relevant degree in Computer Science, Information Technology, Engineering, or a related field.

Nice to have

  • Experience with Claude, Cursor, and similar AI tools.

Culture & Benefits

  • Opportunity to contribute to data systems supporting company growth.
  • Knowledge sharing and collaboration with engineers and analysts across the team.
  • Independent ownership of multiple projects, priorities, milestones, and due dates.

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