Azure Data Engineer: ETL & Analytics Pipelines

Bluelightconsulting; Rosario; A distancia; ARS 1.200.000 - 1.800.000; Jornada completa

Descripción de la vacante

Bluelight is seeking an ETL Data Engineer to join its expanding data team in Rosario. You will design, develop, and maintain data pipelines using Python (PySpark) and Azure Synapse Analytics to ensure reliable, scalable analytical data.

You will collaborate with data scientists and analysts to deliver high-quality data for insights and decision‑making. The ideal candidate has strong SQL, Spark, and Azure experience, along with a passion for data modeling, governance, and fast-paced teamwork in a

Formación

• Bachelor’s degree or equivalent work experience in CS/IT.
• Significant experience with Python (PySpark) for ETL.
• Proficiency with Azure Synapse Analytics (Notebooks, Pipelines).
• Strong SQL skills in SparkSQL and MS SQL.
• Experience with data integration best practices and Git (Azure DevOps).

Responsabilidades

• Develop and maintain ETL data engineering processes using Python (PySpark).
• Design and optimize data notebooks/pipelines in Azure Synapse Analytics.
• Work with data sources including REST APIs, SQL databases, and CSV files.
• Implement data quality checks and data modeling to support analytics.
• Collaborate with cross-functional teams and ensure data governance compliance.

Conocimientos

Python (PySpark)

Azure Synapse Analytics

SQL

SparkSQL/MS SQL

Git / Azure DevOps

Power BI / Tableau

Data Modeling

Data Warehousing

Data Quality

Educación

Bachelor’s degree in Computer Science / IT

Azure Data Engineer certification (plus)

Herramientas

Azure Synapse Analytics

Notebooks

Pipelines

Linked Services

Descripción del empleo

Bluelight is seeking an ETL Data Engineer to join its expanding data team in Rosario. You will design, develop, and maintain data pipelines using Python (PySpark) and Azure Synapse Analytics to ensure reliable, scalable analytical data.

You will collaborate with data scientists and analysts to deliver high-quality data for insights and decision‑making. The ideal candidate has strong SQL, Spark, and Azure experience, along with a passion for data modeling, governance, and fast-paced teamwork in a