Remote Azure Data Engineer: ETL, Synapse & Warehousing

Bluelight Consulting LLC

Buenos Aires

A distancia

ARS 97.544.661 - 125.414.564

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Competitive salary and bonuses
Generous paid-time-off
Flexible working hours
Continuing education and training

Descripción de la vacante

Bluelight Consulting LLC is seeking an ETL Data Engineer in Buenos Aires to develop and maintain data engineering processes using Python and Azure Synapse Analytics. This role offers the opportunity to work on challenging projects within a collaborative and innovative environment.

The ideal candidate will have strong expertise in ETL processes, data warehousing, and experience with tools like Power BI and Tableau. The position includes competitive salary, flexible hours, and generous paid-time-off.

Formación

  • Bachelor's degree or equivalent work experience in data engineering.
  • Proven experience in ETL processes using Python (PySpark).
  • Familiarity with big data technologies and machine learning preferred.

Responsabilidades

  • Develop and maintain ETL data engineering processes using Python.
  • Design data storage structures and apply data warehousing techniques.
  • Collaborate with teams to understand data requirements and support initiatives.

Conocimientos

ETL Data Engineering
Python (PySpark)
Azure Synapse Analytics
Data Warehousing
SQL
Data Integration Best Practices
Version Control (Git)
Data Visualization

Educación

Bachelor’s degree in Computer Science, Information Technology, or related field

Herramientas

Azure Synapse Analytics
Power BI
Tableau

Descripción del empleo

Bluelight Consulting LLC is seeking an ETL Data Engineer in Buenos Aires to develop and maintain data engineering processes using Python and Azure Synapse Analytics. This role offers the opportunity to work on challenging projects within a collaborative and innovative environment.

The ideal candidate will have strong expertise in ETL processes, data warehousing, and experience with tools like Power BI and Tableau. The position includes competitive salary, flexible hours, and generous paid-time-off.

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