Junior Cloud Data Engineer — Build Data Pipelines

Capgemini; Aguascalientes; Presencial; MXN 240.000 - 360.000; Jornada completa

Descripción de la vacante

Capgemini is seeking a Junior Cloud Data Engineer in Mexico to support the development and maintenance of cloud-based data solutions, gaining hands-on experience with Azure, GCP, Databricks, and Snowflake. You will build data pipelines and ETL processes within Agile teams to enable business insights.

Join Capgemini to learn from experienced professionals and contribute to real-world projects that shape scalable cloud data architectures and data-driven decision making across global clients.

Formación

• Builds and supports cloud-based data pipelines and ETL processes.
• APplies SQL, data modeling, and data transformation concepts to deliver accurate datasets.
• Demonstrates understanding of Cloud data ecosystems with Azure, GCP, Databricks and Snowflake.

Responsabilidades

• Develops and maintains cloud-based data pipelines and ETL processes.
• Applies SQL, data modeling, and transformation concepts to deliver high-quality datasets for insights.
• Collaborates in Agile teams to deliver data solutions and continuously improve performance.

Conocimientos

SQL

Data modeling

Data transformation

Azure

GCP

Databricks

Snowflake

ETL

Data pipelines

Agile

Descripción del empleo

Capgemini is seeking a Junior Cloud Data Engineer in Mexico to support the development and maintenance of cloud-based data solutions, gaining hands-on experience with Azure, GCP, Databricks, and Snowflake. You will build data pipelines and ETL processes within Agile teams to enable business insights.

Join Capgemini to learn from experienced professionals and contribute to real-world projects that shape scalable cloud data architectures and data-driven decision making across global clients.