Mid/Senior Data Engineer

hace 6 días


San José, San José, Costa Rica Plannatech A tiempo completo ₡2.500.000 - ₡4.500.000 al año

The Mid/Senior Data Engineer designs, builds, and optimizes data pipelines and models to enable reliable analytics and reporting. This role combines software engineering best practices with data architecture principles to deliver clean, scalable, and maintainable data solutions. The candidate should have strong experience in PySpark, SQL, and data modeling, as well as a passion for code quality, documentation, and performance optimization.

Key Responsibilities

  • Develop scalable data pipelines and ETL processes using PySpark and SQL.
  • Design and maintain data models (Star Schema, Data Vault, Slowly Changing Dimensions, etc.).
  • Apply software engineering principles: testing, versioning, modularization, and CI/CD.
  • Ensure data quality, consistency, and lineage across all data layers.
  • Document data pipelines, transformations, and data models in a clear and maintainable way.
  • Optimize data transformations for performance and reliability.
  • Collaborate with Data Infrastructure Engineers to ensure efficient execution in production.
  • Mentor peers and promote best practices in coding and documentation.

Requirements

  • 4+ years of experience in Data Engineering or related fields.
  • Strong proficiency in Python (PySpark) and SQL.
  • Experience with Airflow, Delta Lake, Parquet, and Hive Metastore.
  • Knowledge of relational and distributed databases (SQL Server, Postgres, Snowflake).
  • Understanding of CI/CD and data quality frameworks.
  • Excellent debugging, optimization, and problem-solving skills.
  • Strong written and verbal communication skills, with focus on clear documentation.

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