Resumo da vaga

Senior Data Engineer

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

A day in the life:

  • Develop long-term technical vision for the team
  • Design technical strategy to develop components, frameworks and libraries to create seamless applications for our customers
  • Hands-on development of scalable components and applications
  • Mentor engineers including senior and junior engineers on their team
  • Improve and uphold standards for engineering and operational excellence
  • Create and encourage comprehensive documentation for code, libraries, and components to facilitate collaboration and knowledge sharing within the team

Your expertise:

  • 4+ years of experience in data engineering or closely related roles
  • Strong experience building and maintaining production data pipelines using Python
  • Hands-on experience integrating data from external APIs
  • Experience operating batch ELT pipelines and working with data warehouses
  • Advanced SQL skills and experience modeling data for analytics and reporting use cases
  • Experience working with orchestration tools such as Airflow
  • Familiarity with dbt or similar transformation tools, and comfort working closely with analytics teams
  • Demonstrated ownership of production systems, including monitoring, debugging, and incident response
  • Comfort working in ambiguous environments and making pragmatic technical decisions
  • Experience working in a cloud environment such as GCP (or equivalent)
  • Familiarity with CI/CD practices and source control (e.g., GitHub)
  • Experience working in collaborative, iterative development environments
  • Additional preferred experience:
  • Designing or migrating pipelines toward incremental loading patterns
  • Working with infrastructure-as-code tools (e.g., Terraform)
  • Experience with data quality tooling, testing, or observability
  • Exposure to BI tools or supporting analytics workflows
  • Experience learning and adopting new tools or technologies quickly

Details

  • Designing or migrating pipelines toward incremental loading patterns
  • Working with infrastructure-as-code tools (e.g., Terraform)
  • Experience with data quality tooling, testing, or observability
  • Exposure to BI tools or supporting analytics workflows
  • Experience learning and adopting new tools or technologies quickly

Where you are

  • This role is remote and should be located in Latin America (LatAm) and compatible with EST time zone.

How we support our people

  • Insurance or subsidies based on country
  • Unlimited Time Off, with a minimum time off recommendation
  • Company-paid holidays
  • Official company-wide holiday for the last week of the calendar year
  • Access to free data skills training through our programs
  • A company culture that empowers individuals and embraces diversity through its core mission
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Ver stack
FocoData EngineeringÁrea da vaga
Sinal de senioridadeSeniorNível do candidato
StackCI/CD, GCP, PythonSkills principais
Localização25 países aceitosElegibilidade

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