Data Engineer - Databricks & GCP ETL Pipelines

Agileengine

Cartagena de Indias

On-site

COP 397,035,000 - 595,553,000

Full time

6 days ago
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Benefits offered by this job

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

Job summary

AgileEngine is seeking a Data Engineer in Cartagena to design, build, and productionize scalable data pipelines using Databricks, PySpark, and SQL. You will integrate data workflows with GCP, BigQuery, and Delta Lake, delivering reliable, automated data solutions for multiple business use cases.

The role emphasizes data quality, performance optimization, and collaboration across data, platform, and business teams to enable rapid automation and insights.

Qualifications

  • 5+ years of hands-on experience with Databricks and PySpark.
  • Advanced SQL and data-processing skills.
  • Hands-on experience with GCP, particularly BigQuery.
  • Experience with Delta Lake and modern data lake architectures.
  • Strong understanding of ETL/ELT, data pipeline design, performance optimization, and data quality.
  • Experience building reliable, production-grade data solutions.
  • Strong analytical and troubleshooting skills.
  • Understanding of software engineering practices, including testing, version control, deployment, monitoring, and production support.

Responsibilities

  • Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL.
  • Build and operationalize agentic workflows to automate data engineering and operational processes.
  • Integrate agentic capabilities with Databricks, GCP, BigQuery, and Delta Lake environments.
  • Develop data pipelines and processing solutions to support new business requirements and datasets.
  • Build reusable frameworks and components for data engineering and business use cases.
  • Implement data quality checks, monitoring, validation, and production controls.
  • Optimize PySpark and SQL workloads for performance, reliability, and scalability.
  • Support testing, deployment, productionization, and ongoing enhancement of data solutions.
  • Troubleshoot complex data and production issues and implement sustainable solutions.
  • Collaborate with business, data engineering, and platform teams to identify automation opportunities.

Skills

Databricks
PySpark
Advanced SQL
GCP BigQuery
Delta Lake
ETL/ELT design

Job description

AgileEngine is seeking a Data Engineer in Cartagena to design, build, and productionize scalable data pipelines using Databricks, PySpark, and SQL. You will integrate data workflows with GCP, BigQuery, and Delta Lake, delivering reliable, automated data solutions for multiple business use cases.

The role emphasizes data quality, performance optimization, and collaboration across data, platform, and business teams to enable rapid automation and insights.

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