With us you will
Build scalable eCommerce data pipelines
Design, develop, and operate batch-oriented data pipelines using Azure Databricks, PySpark, Spark SQL, and Delta Lake.
Build and publish data products across domains: catalog, pricing, promotions, inventory, orders, payments, fulfillment, and returns.
Design incremental processing patterns supporting backfills, late arriving data, and schema evolution.
Create reusable pipeline components and ensure products meet performance, quality, and reliability standards.
Integrate eCommerce platforms and APIs
Build and maintain integrations with Amazon and other eCommerce, payment, logistics, and enterprise systems.
Develop ingestion solutions via REST APIs, webhooks, files, and cloud native interfaces.
Handle real-world API challenges: authentication, pagination, rate limits, retries, idempotency, and schema evolution.
Build monitoring and recovery mechanisms for critical integrations across Latin American markets.
Engineer for performance and reliability
Optimize Spark workloads through partitioning, join strategies, caching, and query-plan analysis.
Implement automated data quality controls and observability through metrics, alerting, and lineage.
Design pipelines that are scalable, idempotent, fault tolerant, and recoverable.
Drive root cause analysis and deliver permanent solutions for production issues.
What we offer you
Relocation support to Panamá.
Responsibilities from Day 1, allowing you to take ownership of your projects.
A dynamic and supportive work environment that promotes agility and work/life balance.
Work in international teams with regional or global responsibilities.
A competitive salary and benefits package.
Long-term career with development and growth opportunities
Continuous mentorship from passionate colleagues and formal training opportunities.
Job Qualifications
3-5 years of experience in data engineering or software engineering in production environments.
Bachelor degree in Software Engineering, Computer Science or similar.
Proven experience in eCommerce, digital marketplaces, retail, or high-volume transactional platforms.
Knowledge of eCommerce data domains: catalog, pricing, inventory, orders, payments, fulfillment, and returns.
Direct experience integrating with REST APIs.
Deep hands-on experience with Python, PySpark and SQL at scale.
Experience building production grade pipelines on Databricks or equivalent platform.
Solid understanding of batch processing, incremental ingestion, data modeling, and data quality practices.
Software engineering discipline: version control, automated testing, CI/CD, code reviews, and production monitoring.
Professional proficiency in Spanish and English.
Nice-to-have
Advanced Databricks expertise: Delta Lake, Unity Catalog, Workflows, Auto Loader, MLflow, and workload optimization.
Amazon Marketing Cloud experience.
Experience operationalizing machine learning or AI models in production.
Important Note for Candidates
Before submitting your application, we strongly encourage you to review the following material: Hiring Process and Assessment Information.
Familiarizing yourself with this content will help you be better prepared for the online assessments and enhance your chances of success.
About Us
P&G serves consumers worldwide with a strong portfolio of trusted brands, including Always®, Ariel®, Crest®, Gillette®, Pampers®, and Tide®. Our community operates in approximately 70 countries. For more information about us and our brands, please visit www.pg.com.
We are an equal-opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status. We ensure reasonable accommodations for individuals with disabilities during the application or interview process. Please contact us to request accommodations.
- Job Segmentation
- Experienced Professionals
