Senior Databricks Data Engineer - Remote & Growth

AgileEngine; San Miguel de Tucumán; A distancia; ARS 135.892.000 - 226.487.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Competitive compensation

Remote work

Meaningful projects

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine is seeking a Senior Data Engineer to modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will design and run batch and streaming pipelines, evolve the bronze/silver/gold medallion architecture, and leverage AI tools to speed up development across global teams.

The role emphasizes data governance, scalable production pipelines, and collaboration with DevOps, platform, and analytics engineers in a remote, distributed environment.

Formación

• 4+ years of professional experience in data engineering with Spark and cloud data architectures.

Responsabilidades

• Design, build, and operate batch and streaming data pipelines on Databricks using PySpark, Delta Lake, and Databricks Workflows.

Conocimientos

Databricks

PySpark

Delta Lake

SQL

Python

Data modeling

Structured Streaming

Kafka

Airflow

Unity Catalog

dbt

Terraform

Azure Data Factory

Herramientas

Databricks Workflows

Azure Data Factory

Airflow

Terraform

Azure DevOps

PostgreSQL

Descripción del empleo

AgileEngine is seeking a Senior Data Engineer to modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will design and run batch and streaming pipelines, evolve the bronze/silver/gold medallion architecture, and leverage AI tools to speed up development across global teams.

The role emphasizes data governance, scalable production pipelines, and collaboration with DevOps, platform, and analytics engineers in a remote, distributed environment.