Data Engineer Lead

New
ArgentinaFull-TimeLead
Salary not disclosed
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Job Details

Languages
English
Required Skills
AWSDockerPythonSQLNumpyAirflowPandasdbt

Requirements

  • Experience in Data Engineering, including building and optimizing data pipelines
  • Strong knowledge of SQL
  • Strong knowledge of Python (Pandas, Numpy, Jupyter)
  • English Advanced Level
  • Experience working with dbt for data transformation
  • Experience with cloud platforms such as AWS
  • Basic knowledge of Docker
  • Experience with orchestration tools like Airflow or Prefect
  • Familiarity with a BI visualization tool like Looker or Tableau

Responsibilities

  • Partner with cross-functional teams to define BI and analytics requirements
  • Innovate with new tools to improve infrastructure and processes
  • Design dimensional data models and build scalable data pipelines
  • Develop data models to feed dashboards for internal teams and client-facing analytics
  • Develop tools for the team and assist in tech migrations and model design
  • Build scalable, high-performance data architectures
  • Focus on code quality—review, document, test, and integrate CI/CD
  • Lead complex projects end-to-end
  • Support internal and external reporting metrics creation
  • Mentor junior members of the team
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