Senior Databricks Data Engineer: Lakehouse & Streaming

INGEPSY; Cartagena de Indias; Presencial; COP 280.260.000 - 404.820.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

Exciting projects with Fortune 500 and

Flextime

Descripción de la vacante

AgileEngine in Cartagena, Colombia, seeks a Senior Data Engineer to build batch and streaming pipelines on Databricks using PySpark and Delta Lake. You will migrate legacy workloads to a governed Lakehouse while modeling a medallion architecture that powers analytics and AI use cases.

Strong SQL and Python, plus Unity Catalog governance, complete the profile. The role emphasizes data quality, observability, and collaboration with DevOps and analytics teams to ensure scalable, secure data

Formación

• 3+ years of professional experience in data engineering.
• Expertise with Apache Spark and cloud-based data architectures.
• Strong hands-on data pipelines using Databricks, Spark (PySpark), and Delta Lake.
• Advanced SQL and Python with data modeling for Lakehouse patterns.
• Experience with streaming ingestion using Structured Streaming, Auto Loader, Kafka, or Event Hubs.
• Experience with workflow orchestration (Databricks Workflows, Airflow, or Azure Data Factory).
• Experience with legacy migrations, ETL modernization, or data hygieneporting old systems.
• Familiarity with Unity Catalog, data governance, access control, and PII handling.
• Experience with dbt or 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 architecture serving analytics and ML consumers.
• Migrate legacy ETL and data warehouse workloads onto the Lakehouse with parity and minimal disruption.
• Use AI tools like Claude or GitHub Copilot to accelerate development and testing.
• Write clean, well-tested Python and SQL with code reviews and docs.
• Optimize Spark jobs and Delta tables for performance and cost.
• Implement data quality, lineage, and governance using Unity Catalog and automated checks.
• Debug and resolve production issues and data defects.
• Collaborate with DevOps, platform, and analytics engineers on observability, security, and compliance.

Conocimientos

Data engineering

Apache Spark

Cloud data architectures

Databricks

PySpark

Delta Lake

SQL

Python

Structured Streaming

Kafka

Event Hubs

Databricks Workflows

Airflow

Azure Data Factory

Unity Catalog

Data governance

Access control

PII handling

dbt

Secure coding

Data platforms at scale

Herramientas

Databricks

Dynatrace

CloudWatch

Azure DevOps

Terraform

Airflow

Azure Data Factory

Descripción del empleo

AgileEngine in Cartagena, Colombia, seeks a Senior Data Engineer to build batch and streaming pipelines on Databricks using PySpark and Delta Lake. You will migrate legacy workloads to a governed Lakehouse while modeling a medallion architecture that powers analytics and AI use cases.

Strong SQL and Python, plus Unity Catalog governance, complete the profile. The role emphasizes data quality, observability, and collaboration with DevOps and analytics teams to ensure scalable, secure data