Data Engineer
Procter & Gamble6 days ago
Panama (city not specified)Mid Level / Senior
Responsibilities
- Design, develop, and operate scalable batch data pipelines using Azure Databricks, PySpark, Spark SQL, and Delta Lake.
- Build and publish data products covering catalog, pricing, promotions, inventory, orders, payments, fulfillment, and returns.
- Design incremental processing patterns for backfills, late-arriving data, and schema evolution.
- Build and maintain integrations with Amazon and other eCommerce, payment, logistics, and enterprise systems.
- Develop ingestion solutions through REST APIs, webhooks, files, and cloud-native interfaces.
- Implement authentication, pagination, rate-limit handling, retries, idempotency, schema evolution, monitoring, and recovery for integrations.
- Optimize Spark workloads and implement automated data quality, observability, metrics, alerting, and lineage.
- Perform root cause analysis and deliver permanent solutions for production issues.
Requirements
- 3–5 years of experience in data engineering or software engineering in production environments.
- Bachelor’s degree in Software Engineering, Computer Science, or a similar field.
- Proven experience in eCommerce, digital marketplaces, retail, or high-volume transactional platforms.
- Knowledge of eCommerce data domains including 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 an equivalent platform.
- Understanding of batch processing, incremental ingestion, data modeling, and data quality practices.
- Software engineering experience with version control, automated testing, CI/CD, code reviews, and production monitoring.
- Professional proficiency in Spanish and English.
- Preferred qualifications include advanced Databricks expertise, Amazon Marketing Cloud experience, and experience operationalizing machine learning or AI models in production.
Benefits
- Relocation support to Panama.
- Full-time position with responsibilities from day one.
- International teams with regional or global responsibilities.
- Competitive salary and benefits package.
- Long-term career development and growth opportunities.
- Continuous mentorship and formal training opportunities.
- Dynamic, supportive work environment promoting agility and work-life balance.
- Start date is as soon as possible.
Tech Stack
Categories
Data Engineering
About Procter & Gamble
Procter & Gamble is a global consumer packaged goods company that makes and sells household, personal care, and hygiene products through retailers and e-commerce. Its portfolio includes brands such as Pampers, Tide, Gillette, Oral-B, and Pantene, serving consumers worldwide. Founded in 1837 and headquartered in Cincinnati, Ohio, P&G is a public company listed on the NYSE under the ticker PG.