Senior Databricks Engineer: Lakehouse Data Platform Lead

INGEPSY

Sucre

Presencial

COP 120.000.000 - 160.000.000

Jornada completa

Hace 2 días
Sé de los primeros/as/es en solicitar esta vacante
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Ventajas ofrecidas por este puesto de trabajo

Professional growth
Competitive USD-based compensation
A selection of exciting projects
Flextime

Descripción de la vacante

AgileEngine is seeking a Senior Data Engineer to design, build, and operate batch and streaming pipelines on Databricks using PySpark and Delta Lake. You will model a medallion architecture and migrate legacy ETL workloads to a governed Lakehouse, ensuring data parity and governance with Unity Catalog.

Strong SQL and Python are required, along with experience in Spark, Delta Lake, and orchestration tools. You will collaborate with DevOps and analytics teams to maintain high reliability and

Formación

  • 3+ years of professional data engineering experience with Spark and cloud data architectures.
  • Hands-on experience building data pipelines with Databricks, PySpark, and Delta Lake.
  • Advanced SQL and Python with strong data modeling skills for Lakehouse patterns.
  • Experience with Structured Streaming, Auto Loader, Kafka or Event Hubs.
  • Experience with orchestration tools (Databricks Workflows, Airflow, or Azure Data Factory).
  • Familiarity with Unity Catalog, data governance, and PII handling.
  • Proficient with dbt or equivalent transformation framework.

Responsabilidades

  • Design, build, and operate batch and streaming pipelines on Databricks with PySpark and Delta Lake.
  • Model a medallion architecture for analytics, reporting, and ML consumers.
  • Migrate legacy ETL workloads to the Lakehouse with data parity and minimal disruption.
  • Write clean Python and SQL; ensure quality via tests and documentation.
  • Optimize Spark jobs and Delta tables for performance and cost.
  • Implement data quality, lineage, and governance with Unity Catalog.
  • Troubleshoot production issues and collaborate on observability and security best practices.

Conocimientos

Apache Spark
SQL
Python
Data modeling
Streaming data
Collaboration

Herramientas

Databricks
Delta Lake
Unity Catalog
dbt
Airflow
Azure Data Factory

Descripción del empleo

AgileEngine is seeking a Senior Data Engineer to design, build, and operate batch and streaming pipelines on Databricks using PySpark and Delta Lake. You will model a medallion architecture and migrate legacy ETL workloads to a governed Lakehouse, ensuring data parity and governance with Unity Catalog.

Strong SQL and Python are required, along with experience in Spark, Delta Lake, and orchestration tools. You will collaborate with DevOps and analytics teams to maintain high reliability and

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