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See allResponsibilities:
- 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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