Senior Databricks Data Engineer - Remote & Growth

AgileEngine, LLC.

Región Centro

A distancia

MXN 600.000 - 1.200.000

Jornada completa

Hace 4 días
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Ventajas ofrecidas por este puesto de trabajo

Growth without limits
Competitive compensation
Flexibility
Meaningful, modern projects
Collaborative culture
Well-being & support

Descripción de la vacante

AgileEngine is seeking an experienced Senior Data Engineer to modernize a 15-year data warehouse into a governed Databricks Lakehouse. You will design batch and streaming pipelines with PySpark and Delta Lake across bronze, silver, and gold layers.

Responsibilities include migrating legacy workloads, building scalable data platforms, applying Unity Catalog governance, and collaborating with DevOps and analytics teams.

Formación

  • 5+ years of professional data engineering experience.
  • Strong expertise with Spark, Databricks, Delta Lake.
  • Advanced SQL and Python skills.
  • Experience with streaming and batch data pipelines.
  • Familiarity with data governance and Unity Catalog.

Responsabilidades

  • Design, build, and operate batch and streaming pipelines on Databricks using PySpark and Delta Lake.
  • Model and maintain a medallion architecture (bronze/silver/gold).
  • Migrate legacy ETL workloads to lakehouse with minimal disruption.
  • Leverage Claude or Copilot to accelerate development and testing.
  • Write clean Python and SQL, with emphasis on tests and documentation.
  • Collaborate with DevOps and analytics teams on observability and security.

Conocimientos

Databricks
Apache Spark (PySpark)
Delta Lake
SQL
Python
Data modeling
Governance

Herramientas

Databricks Workflows
Airflow
Azure Data Factory
Unity Catalog

Descripción del empleo

AgileEngine is seeking an experienced Senior Data Engineer to modernize a 15-year data warehouse into a governed Databricks Lakehouse. You will design batch and streaming pipelines with PySpark and Delta Lake across bronze, silver, and gold layers.

Responsibilities include migrating legacy workloads, building scalable data platforms, applying Unity Catalog governance, and collaborating with DevOps and analytics teams.

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