Data Engineer (Argentina)

Data Engineer (Argentina)

30 sep
|
Ryz Labs
|
Argentina

30 sep

Ryz Labs

Argentina

Remote position - only for professionals based in LATAM.

We are looking for a Senior Data Engineer for one of our client's teams. You will take ownership of the systems responsible for ingesting, transforming, validating, and publishing data across our platform.

In this role, you will work at the data ingestion boundary, where data from multiple external sources enters our systems. You will be responsible for building reliable pipelines, resolving identity and entity-matching challenges, detecting data-quality issues, and ensuring data flows correctly into downstream products and services.

This is a hands-on engineering role that combines AWS data engineering, Python/SQL development, event-driven architectures, data quality, and identity resolution. You will collaborate closely with engineering, product, analytics, and downstream platform teams to troubleshoot issues and improve the reliability of our data ecosystem.

What You'll Do

• Own and evolve data ingestion pipelines, including source ingestion/scraping, data cleaning and curation using AWS Glue, entity resolution,



and event-driven data publishing.

• Design and maintain reliable batch and event-driven data workflows across our data platform.

• Diagnose and resolve identity-resolution issues across multiple data sources, including deduplication and entity-matching challenges.

• Develop and maintain data quality and validation frameworks, including freshness monitoring, null-rate checks, consistency validation, and schema-drift detection.

• Monitor data at the ingestion boundary and proactively identify issues before they impact downstream systems and products.

• Partner with engineering teams responsible for the events bridge and downstream identity services to trace data and events end-to-end.

• Collaborate with Product, Assessments, Analytics, and other stakeholders to understand how data flows into downstream products and ensure those requirements are reflected in the data pipelines.

• Automate i

📌 Data Engineer (Argentina)
🏢 Ryz Labs
📍 Argentina

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