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Data Engineer Jr_Hibrido CDMX

Nova Solutions Mexico City, Mexico City, Mexico · MX$276K–MX$300K/yr

Professional Services · 11-50 employees

Yesterday
data-engineer Mid (2-5 yrs) Full-time Mexico
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About the role

The role involves designing, developing, and supporting end-to-end data pipelines. Responsibilities include data extraction, ingestion, transformation, and assisting with testing and component deployment in lower environments.

What they look for

Data Engineering Python Pyspark Google Cloud Platform BigQuery Cloud Composer Airflow SQL Linux Shell Scripting Databricks Delta Lake Unity Catalog GitHub Bitbucket Azure Microsoft Fabric

Requirements

Candidates must have at least 2 years of practical experience in data engineering. Proficiency in Python, Pyspark, SQL, and cloud platforms like GCP or Azure is required.

Full description

Descripción de puesto: 2+ años de experiencia práctica comprobable en Data Engineering, participando en el diseño, desarrollo, implementación y soporte de pipelines de datos end-to-end.

Habilidades técnicas:

Conocimientos deseados

  • Desarrollo de pipelines de datos (extracción, ingesta y transformación).
  • Python.
  • Pyspark.
  • Google Cloud Platform (GCP):

o BigQuery o Cloud Composer (Airflow) o Cloud Storage Buckets o Cloud Logging o Dataproc

Conocimientos intermedios

  • SQL.
  • Linux Shell Scripting.
  • Databricks:

o Notebooks o Workflows / Jobs o Delta Lake o Unity Catalog

  • Control de versiones:

o GitHub o Bitbucket

  • Azure:

o Virtual Machines o Microsoft Fabric

Actividades principales:

  • Apoyo en el diseño
  • Tareas de Desarrollo
  • Apoyo en pruebas y puesta de componentes en ambientes bajos

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