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17 дней назад

Data Engineer Lead (Snowflake)

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

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TL;DR
Data Engineer Lead (Snowflake/AWS): Designing and implementing scalable Snowflake ingestion architectures and end-to-end ELT pipelines for enterprise data platforms with an accent on data quality, validation, governance, and reliability. Focus on building AWS-based pipelines, applying Medallion Architecture, identifying data risks and bottlenecks, and leading technical standards for client-facing delivery.

Location: Bogotá, Colombia

Company

hirify.global is an AI services provider that combines data science, artificial intelligence, technology, and human expertise to deliver data-driven solutions for enterprise clients.

What you will do

  • Lead the design and implementation of scalable data ingestion architectures in Snowflake.
  • Own end-to-end ELT pipelines integrating multiple data sources.
  • Design data quality frameworks with validation rules, testing strategies, and monitoring.
  • Build and optimize data pipelines and architectures on AWS, including S3, Glue, Lambda, and EMR.
  • Develop data validation and ingestion frameworks, including Streamlit-based UI components when needed.
  • Lead technical practices for data engineering, governance, documentation, and pipeline reliability while identifying risks and bottlenecks.

Requirements

  • 5+ years of experience in data engineering with a strong senior-level or lead mindset.
  • Strong hands-on experience with Snowflake and AWS data pipelines.
  • Experience building ELT pipelines and data ingestion solutions.
  • Strong SQL skills and experience with large-scale data processing.
  • Understanding of Medallion Architecture, including Bronze, Silver, and Gold layers.
  • Client-facing communication skills and the ability to lead technical practices.

Nice to have

  • Experience with clean rooms such as AMC.
  • Experience with CI/CD pipelines for data workflows.
  • Experience with dbt, Glue, Athena, EMR, Lambda, Terraform, or CloudFormation.

Culture & Benefits

  • Certifications and learning paths in AWS, Databricks, Snowflake, and AI.
  • Access to study plans, courses, Udemy Business, and role-specific certifications.
  • English lessons to support professional communication.
  • Mentorship and career development plans.
  • Company-provided equipment, special day rewards, and travel opportunities for conferences and client meetings.
  • Flexible working options; benefits may vary by location in LATAM.

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