Databricks Data Engineer - PySpark, Delta Lake, Remote

INGEPSY; Sur; Presencial; COP 280.260.000 - 467.101.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

Exciting projects with Fortune 500 and

Flextime and remote/hybrid option

Descripción de la vacante

AgileEngine is seeking a Data Engineer to build batch and streaming pipelines on Databricks using PySpark and Delta Lake. You will migrate legacy workloads to a governed Lakehouse and implement robust data quality and governance controls.

You will model a bronze/silver/gold medallion architecture for analytics and ML use cases, optimize Spark jobs, and collaborate with cross-functional teams in an Agile environment. Flextime with remote/hybrid options is available.

Formación

• 4+ years of professional data engineering experience with Spark and cloud data architectures.
• Strong SQL and Python skills with data modeling across Lakehouse patterns.
• Experience with streaming ingestion using Structured Streaming, Kafka, or Event Hubs.
• Familiarity with Unity Catalog, data governance, access control, and PII handling.
• Experience with dbt or an equivalent transformation framework.

Responsabilidades

• Design, build, and operate batch and streaming data pipelines on Databricks using PySpark, Delta Lake, and Databricks Workflows.
• Model and maintain a medallion (bronze/silver/gold) architecture serving analytics, reporting, and ML use cases.
• Migrate legacy ETL and data warehouse workloads onto the Lakehouse with validated data parity and minimal business disruption.
• Write clean, well-tested Python and SQL; maintain high standards through code reviews and documentation.
• Collaborate with DevOps, platform, and analytics engineers on observability, security, and governance best practices.

Conocimientos

Apache Spark

Cloud data architectures

SQL

Python

Databricks

Delta Lake

dbt

Mentoring juniors

Communication

Herramientas

Databricks Workflows

Airflow

Azure Data Factory

Unity Catalog

Descripción del empleo

AgileEngine is seeking a Data Engineer to build batch and streaming pipelines on Databricks using PySpark and Delta Lake. You will migrate legacy workloads to a governed Lakehouse and implement robust data quality and governance controls.

You will model a bronze/silver/gold medallion architecture for analytics and ML use cases, optimize Spark jobs, and collaborate with cross-functional teams in an Agile environment. Flextime with remote/hybrid options is available.