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Mid Data Practitioner, Data – Analytics Engineering
Responsibilities
A continuación se detalla todo lo que necesita saber sobre lo que implica esta oportunidad, así como lo que se espera de los solicitantes.
Requirements
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A continuación se detalla todo lo que necesita saber sobre lo que implica esta oportunidad, así como lo que se espera de los solicitantes.
- Design and implement end-to-end data pipelines (ingestion → transformation → quality → delivery)
- Build and maintain data components (event-driven ingestion, transformations, APIs, catalogs)
- Write SQL-first transformations and Python for orchestration/API logic
- Implement data quality in the pipeline for validation, monitoring, and alerting systems at scale
- Optimize data models for performance, cost, and reliability across datasets
- Collaborate with Junior/Intern team members
Requirements
- 2 to 4 years of experience in data engineering/analytics
- Strong SQL skills (complex xhfqzwm joins, aggregations, incremental patterns)
- Proficiency in Python for services/pipelines
- Comfortable with Git, PR reviews, pytest
- Strong collaboration skills with other teams
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