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Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT data pipelines to ingest, transform, and load data from multiple sources into data warehouse environments.
  • Implement and monitor data quality frameworks, ensuring accuracy, consistency, and reliability across datasets.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver effective data solutions.

Requirements:

  • 3+ years of experience in data engineering or similar roles within data-intensive environments.
  • Strong proficiency in Python or Java for data processing and pipeline development.
  • Solid experience with SQL and relational database systems such as PostgreSQL, MySQL, or Oracle.

Benefits:

  • 100% employer-covered health insurance with national and international coverage for LATAM employees.
  • Monthly flexible benefits credits through a customizable benefits platform.
  • Generous paid time off, including holidays, personal time, and special leave days.

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