Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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В Company hidden четко описана роль старшего инженера данных и указан современный стек, но без зарплаты и с обязательной работой в офисе в Мехико условия сложнее оценить.
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Зарплата не указанаСовременный стекПонятные задачиРабота в офисе
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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