Remote Azure Data Engineer: ETL, Synapse & Warehousing

Bluelight Consulting LLC; Córdoba; A distancia; ARS 55.739.806 - 97.544.661; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary and bonuses

Generous paid-time-off policy

Flexible working hours

Work remotely

Continuing education and training

Descripción de la vacante

Bluelight Consulting LLC, located in Córdoba, Argentina, is seeking a skilled Data Engineer. In this role, you'll develop and maintain ETL processes using Python (PySpark) and Azure Synapse Analytics. You will work on exciting projects that enhance data management capabilities while enjoying a supportive and flexible work environment.

Ideal candidates have a Bachelor's degree in Computer Science and proven experience in data engineering. Additional benefits include competitive salary, paid time off, and continued education opportunities.

Formación

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Proven experience in ETL data engineering using Python (PySpark).
• Proficiency in Azure Synapse Analytics.
• Ability to write complex SQL queries and optimize performance.

Responsabilidades

• Develop and maintain ETL data engineering processes using Python.
• Design and build data storage structures in Azure Synapse Analytics.
• Extract data from various sources.
• Implement data quality checks and validation processes.

Conocimientos

ETL Data Engineering

Python (PySpark)

Azure Synapse Analytics

Data Warehousing

SQL Queries

Problem-solving

Communication Skills

Data Visualization

Educación

Bachelor’s degree in Computer Science

Herramientas

Azure Key Vault

Power BI

Tableau

Git (Azure DevOps)

Descripción del empleo

Bluelight Consulting LLC, located in Córdoba, Argentina, is seeking a skilled Data Engineer. In this role, you'll develop and maintain ETL processes using Python (PySpark) and Azure Synapse Analytics. You will work on exciting projects that enhance data management capabilities while enjoying a supportive and flexible work environment.

Ideal candidates have a Bachelor's degree in Computer Science and proven experience in data engineering. Additional benefits include competitive salary, paid time off, and continued education opportunities.