Data Engineer

🔥 1 hour ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.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 from multiple external and internal sources, including ingestion, cleaning, curation, entity resolution, and event-driven publishing • Design, build, and maintain scalable batch and event-driven data workflows using Python, SQL, and AWS • Solve identity resolution, entity matching, and deduplication challenges across multiple data sources • Build and maintain data quality and validation frameworks, including freshness monitoring, null-rate and consistency checks, and schema-drift detection • Monitor ingestion-boundary data and proactively identify, troubleshoot, and resolve issues • Partner with event infrastructure and downstream identity-service teams to trace data and events end-to-end • Collaborate with Product, Assessments, Analytics, and Engineering teams to align pipelines with product and business requirements • Build and operate data infrastructure using AWS Glue, Athena, S3, and DynamoDB • Automate infrastructure and pipeline changes using Terraform or AWS CDK • Participate in production incident response and implement remediation • Improve the reliability, observability, scalability, and maintainability of data pipelines and platform infrastructure

🎯 Requirements

• 5+ years of experience building and operating production-grade data pipelines and data infrastructure • Strong experience with both batch processing and event-driven architectures • Hands-on experience with AWS Glue, Athena, and S3-based data lakes, including layered or medallion-style data transformations • Strong proficiency in Python and SQL for data processing, transformation, and analysis • Experience solving identity resolution, entity matching, and deduplication problems, including exact and fuzzy matching approaches • Understanding of durable identifiers and identity-mapping strategies, including maintaining consistent first-seen or locked mappings over time • Experience working with event schemas and schema-registry-backed contracts, such as Protobuf, and understanding of schema evolution impacts on downstream consumers • 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 engineering, product, analytics, and other technical teams • Experience with Elixir/Phoenix or other BEAM-based concurrent processing frameworks • Experience with DynamoDB-backed identity, lookup, or matching services • Experience with the Snowflake ecosystem, including data modeling, Snowpipe, Streams, and Tasks • Experience implementing data observability, including freshness and staleness alerts, null-rate monitoring, schema-drift detection, and data-quality dashboards • Experience managing infrastructure through Terraform or AWS CDK

🏖️ Benefits

• Full-time contract employment • Remote work arrangement

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