Senior Databricks Engineer: Lakehouse & AI Analytics

AgileEngine, LLC.

Ciudad de Mendoza

Presencial

ARS 135.820.000 - 196.185.000

Jornada completa

Hace 4 días
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Ventajas ofrecidas por este puesto de trabajo

Professional growth
Competitive USD-based compensation
Projects with Fortune 500 and top-tier

Descripción de la vacante

AgileEngine, LLC. is seeking a Senior Data Engineer to design and operate batch and streaming pipelines on Databricks using PySpark and Delta Lake. The role focuses on migrating legacy ETL workloads to a governed Lakehouse with medallion architecture to power analytics and ML use cases.

You will work with SQL, Python, Unity Catalog governance, and collaborate with DevOps and analytics engineers to ensure observability, security, and data quality.

Formación

  • 3+ years in data engineering with Spark and cloud data architectures.
  • Strong SQL and Python; data modeling across Lakehouse patterns.
  • Experience with streaming and batch data pipelines on Databricks.

Responsabilidades

  • Design, build, and operate batch and streaming pipelines on Databricks (PySpark, Delta Lake).
  • Model medallion architecture for analytics, reporting, and ML users.
  • Migrate ETL workloads to Lakehouse with minimal disruption.
  • Write tests, documentation, and generate code scaffolding with AI tools.
  • Optimize Spark jobs and Delta tables for performance and cost.

Conocimientos

3+ years of experience
Apache Spark
Databricks
PySpark
Delta Lake
SQL
Python
Unity Catalog governance
Data modeling
Streaming pipelines

Herramientas

Databricks
Airflow
Azure Data Factory
PostgreSQL

Descripción del empleo

AgileEngine, LLC. is seeking a Senior Data Engineer to design and operate batch and streaming pipelines on Databricks using PySpark and Delta Lake. The role focuses on migrating legacy ETL workloads to a governed Lakehouse with medallion architecture to power analytics and ML use cases.

You will work with SQL, Python, Unity Catalog governance, and collaborate with DevOps and analytics engineers to ensure observability, security, and data quality.

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