Senior Databricks Data Engineer — Remote & Flexible Hours

AgileEngine; Bogotá; Presencial; COP 283.751.000 - 378.334.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Competitive compensation

Remote flexibility

Modern 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 batch and streaming pipelines with PySpark and Delta Lake, and drive medallion architecture across bronze, silver, and gold layers.

You will leverage AI tools like Claude and GitHub Copilot to accelerate development, write clean Python/SQL, and ensure data quality, governance, and scalable production pipelines.

Formación

• 4+ years of professional experience in data engineering, featuring direct expertise with Apache Spark and cloud-based data architectures.
• Advanced SQL and Python, with strong data modeling skills across dimensional and Lakehouse patterns.

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 consumers.
• Migrate legacy ETL and data warehouse workloads onto the Lakehouse with validated data parity and minimal business disruption.
• Use Claude or Github Copilot as a development accelerator, generating code scaffolding, writing and reviewing tests, creating documentation and prototyping solutions.
• Write clean, well-tested Python and SQL; maintain high standards through code review and documentation.
• Optimize Spark jobs and Delta tables for performance and cost, including partitioning, clustering, caching, and cluster sizing.
• Implement data quality, lineage, and governance controls using Unity Catalog and automated validation checks.
• Debug, troubleshoot, and resolve pipeline failures, data defects, and production incidents.
• Participate in Agile or product-centric delivery practices including sprint planning and retrospectives.
• Collaborate with DevOps, platform, and analytics engineers on observability, security, and compliance best practices.

Conocimientos

Databricks

Spark PySpark

SQL

Python

Delta Lake

Unity Catalog

Airflow

dbt

Azure Data Factory

Kafka

Databricks Workflows

Herramientas

Databricks Workflows

Airflow

Azure Data Factory

dbt

Terraform

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 batch and streaming pipelines with PySpark and Delta Lake, and drive medallion architecture across bronze, silver, and gold layers.

You will leverage AI tools like Claude and GitHub Copilot to accelerate development, write clean Python/SQL, and ensure data quality, governance, and scalable production pipelines.