Semi Senior Data Enginer - Buenos Aires
hace 1 día

Descripción del trabajo
At Ryz Labs, we are looking for a Semi Senior Data Engineer to join one of our clients' teams. The gol of this role is to build and maintain scalable, reliable data pipelines and analytics-ready models. This is a hands-on, customer-facing role requiring strong problem-solving, ownership, and the ability to work independently with US-based customers.Key Responsibilities:
Build ELT pipelines using BigQuery OR Snowflake, dbt, and cloud services
Write production-grade Python code for ingestion, transformation, and automation
Design analytics-ready data models
Work directly with customers to gather and clarify requirements
Ensure data quality via testing, validation, and monitoring
Debug pipeline failures, data issues, and performance bottlenecks
Participate in code reviews and follow engineering best practices
Work with 3–5 hours overlap with US EST/CST/PST
Required Qualifications:
2–4 years of data engineering or analytics engineering experience
Strong SQL (joins, CTEs, window functions)
Hands-on BigQuery OR Snowflake
Strong Python coding used in production pipelines
Experience with dbt (models and tests)
Prior customer-facing or stakeholder-facing experience
Strong ownership and accountability mindset
What Success Looks Like:
Reliable pipelines with minimal production issues
Clear communication with customers and stakeholders
Well-tested, maintainable SQL and Python code
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