Senior Data Engineer - Azure Databricks & Spark

Applaudo; Buenos Aires; Presencial; ARS 137.543.000 - 198.673.000; Jornada completa

Descripción de la vacante

Applaudo is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines using Azure Databricks and Python. You will transform complex data from multiple sources into reliable datasets and ensure data quality across the lifecycle.

You will collaborate with a US-based team, implement data quality checks, and document pipelines and data models to support enterprise data ecosystems.

Formación

• 5+ years of professional experience in Data Engineering.
• Hands-on experience with Azure Databricks.
• Advanced Python skills for data processing.
• Strong SQL and data modeling skills.
• Experience integrating data from multiple sources.

Responsabilidades

• Design, build, and maintain production-grade data pipelines.
• Ingest data from APIs, relational databases, cloud storage, and SFTP.
• Develop centralized data hubs and dimensional models.
• Investigate data discrepancies and ensure data quality.
• Collaborate with the US-based team and document processes.

Conocimientos

Azure Databricks

Python

Apache Spark

PySpark

Spark SQL

SQL

Data warehousing

Descripción del empleo

Applaudo is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines using Azure Databricks and Python. You will transform complex data from multiple sources into reliable datasets and ensure data quality across the lifecycle.

You will collaborate with a US-based team, implement data quality checks, and document pipelines and data models to support enterprise data ecosystems.