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1 день назад

Senior Data Engineer (Snowflake/dbt)

Формат работы
remote (только Mexico)
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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TL;DR

Senior Data Engineer (Snowflake/dbt): Designing and building scalable data pipelines for enterprise-scale datasets with an accent on Snowflake optimization and dbt transformations. Focus on enhancing query performance, reducing compute costs, and implementing best practices for managing billions of rows of data.

Location: Remote (Must be based in Mexico)

Company

hirify.global is a modern product engineering partner that blends strategy and craftsmanship to help organizations modernize their data ecosystems and accelerate AI adoption.

What you will do

  • Design and build scalable data pipelines in Snowflake and dbt capable of handling billions of rows.
  • Optimize Snowflake storage, compute performance, and query execution to improve speed and cost efficiency.
  • Lead the migration and refinement of legacy data processes using dbt for optimized modeling.
  • Collaborate with business and data teams to translate complex requirements into high-performance solutions.
  • Implement optimization best practices, including clustering, partitioning, and workload management.
  • Provide technical leadership and mentorship to ensure the team follows scalable engineering standards.

Requirements

  • 3+ years of experience in data engineering focusing on cloud-based enterprise solutions.
  • Proven experience working with massive datasets (billions of rows) in Snowflake.
  • Hands-on expertise in Snowflake performance tuning, storage optimization, and cost management.
  • Deep experience with dbt for data transformation, testing, and workflow orchestration.
  • Strong proficiency in SQL and Python for data manipulation and automation.
  • Must be based in Mexico.

Nice to have

  • Experience with orchestration tools like Airflow or Prefect.
  • Exposure to AWS, GCP, or Azure for cloud data integration.
  • Familiarity with streaming data pipelines such as Kafka or Kinesis.

Culture & Benefits

  • Opportunity to work with cutting-edge cloud data technologies in a dynamic, collaborative environment.
  • Fully remote work flexibility.
  • Career growth opportunities through mentorship and certification programs.
  • Inclusive workplace committed to equal employment opportunity.

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