Data Engineer
Core
Design and operate end-to-end eCommerce data pipelines and integrate high-volume platforms to fuel analytics and intelligent commerce experiences across Latin America.
Role type
Senior Data Engineer (eCommerce)
Builds
Scalable batch-oriented data pipelines, data products (catalog, pricing, inventory, orders, payments), and integrations with eCommerce platforms and APIs.
Domain
eCommerce, retail, digital marketplaces, Latin American markets
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, PySpark, SQL, Azure Databricks, REST API integration, batch processing, incremental ingestion, data modeling, data quality controls, observability, CI/CD, version control
Preferred skills
Delta Lake, Unity Catalog, MLflow, Amazon Marketing Cloud, machine learning operationalization
Technologies
Azure Databricks, PySpark, Spark SQL, Delta Lake, REST APIs, webhooks
Responsibilities
Design and develop batch-oriented data pipelines; Build and maintain integrations with eCommerce, payment, and logistics systems; Optimize Spark workloads and implement data quality controls; Drive root cause analysis for production issues.
Seniority
Senior, hands-on IC