Data Engineer

Procter & Gamble
Panama
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 3-5 yearsEducation: bachelorsSkills: ["Problem-solving","Ownership"]

Own and evolve the data infrastructure powering eCommerce operations across Latin America. Design end-to-end batch pipelines and data products for catalog, pricing, promotions, inventory, orders, payments, fulfillment, and returns using Azure Databricks, PySpark, Spark SQL, and Delta Lake. Build robust incremental processing, API integrations, monitoring, and recovery for critical platform integrations, optimizing Spark performance while improving data quality and reliability.

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FursaFursa
Procter & Gamble
Procter & Gamble
2 days ago

Data Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Own and evolve the data infrastructure powering eCommerce operations across Latin America. Design end-to-end batch pipelines and data products for catalog, pricing, promotions, inventory, orders, payments, fulfillment, and returns using Azure Databricks, PySpark, Spark SQL, and Delta Lake. Build robust incremental processing, API integrations, monitoring, and recovery for critical platform integrations, optimizing Spark performance while improving data quality and reliability.
Location: Panama
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Build scalable eCommerce data pipelines and evolve the data infrastructure for Latin American markets.
  • •Design, develop, and operate batch-oriented pipelines using Azure Databricks, PySpark, Spark SQL, and Delta Lake.
  • •Integrate eCommerce platforms and APIs, including Amazon, and develop ingestion solutions via REST APIs, webhooks, and files.
  • •Implement incremental processing patterns, schema evolution, and idempotent, fault-tolerant pipeline behavior for reliable backfills and late-arriving data.
  • •Optimize Spark workloads and implement monitoring, observability, automated data quality controls, and production root-cause analysis.

Pay and Benefits

Perks:Relocation

Key Requirements

  • •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 integrating with REST APIs and building production-grade pipelines on Databricks or equivalent.
  • •Deep hands-on experience with Python, PySpark, and SQL at scale, plus batch processing and incremental ingestion knowledge.
  • •Professional proficiency in Spanish and English.
Experience:3-5 yearsECommerceDigital marketplacesRetailHigh-volume transactional platforms
Education:Bachelor's
Skills:Problem-solvingOwnership
Languages:SpanishEnglish
Tech Stack:Azure DatabricksPySparkSpark SQLDelta LakeSparkREST APIsAmazon Marketing CloudUnity CatalogWorkflowsAuto LoaderMLflow

Company Brief

Procter & Gamble
Procter & Gamble is a global consumer goods company that develops, manufactures, and markets branded household, personal care, and health products across categories like beauty, grooming, health care, fabric & home care, and baby & family care.
Industry: Consumer Goods
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Cincinnati, United States
Founded: 1837
WebsiteLinkedIn