Data Engineer

🔥 17 hours ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ryz Labs

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Ryz Labs is a company focused on building startups from the ground up and assisting other startups in scaling their operations. They provide top-tier technical talent solutions to ensure that emerging businesses can thrive in a competitive market.

📋 Description

• 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 • Diagnose and resolve identity-resolution issues, including deduplication and entity matching • Develop and maintain data-quality and validation frameworks • Monitor data at the ingestion boundary and identify issues before downstream impact • Trace data and events end-to-end with events bridge and downstream identity-service teams • Collaborate with Product, Assessments, Analytics, engineering, and other stakeholders • Automate infrastructure and pipeline changes using Infrastructure as Code • Build and operate scalable AWS data infrastructure using Glue, Athena, S3, and event-driven services • Participate in production incident response and implement remediation • Improve pipeline reliability, observability, maintainability, and operational processes

🎯 Requirements

• 5+ years of experience building and operating production-grade data pipelines • Strong experience with batch data processing and event-driven architectures • Hands-on experience with AWS Glue, Athena, and S3-based data lakes, including layered/medallion-style data transformations • Strong proficiency in Python and SQL for data transformation, processing, and analysis • Experience with identity resolution, entity matching, or deduplication, including exact and fuzzy matching approaches • Understanding of durable identifiers and first-seen/locked identity mappings • Experience with event schemas and schema-registry-backed contracts such as Protobuf • Strong troubleshooting and production incident-response skills • Ability to understand and debug code written in a functional or concurrent programming language such as Elixir • Strong communication and collaboration skills across technical teams