Senior Data Engineer - Data Platform

New

BrazilFull-TimeSenior

Salary not disclosed

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Job Details

At least 5 years of experience building and operating data systems in production environments
Strong experience operating production data systems, not just building them once
Experience with orchestration tools like Dagster, Airflow, or Prefect
Experience designing robust data models and transformation layers
Strong hands-on experience with Python for data engineering (pipelines, tooling, and production systems)
Think in terms of systems, reliability, and long-term maintainability
Simplify complexity instead of adding unnecessary abstraction
Experience with GCP, dbt, BigQuery, or event-driven architectures is a strong plus
Strong Python and SQL skills
Experience in data pipelines, orchestration, and warehouse modeling
Experience managing data quality, observability, failure modes, and long-running production workflows
Strong communication skills and ability to work across engineering, product, and business teams

Design and operate orchestrated workflows, ensuring clear execution semantics, observability, and resilience.
Design and maintain scalable transformation layers using dbt, BigQuery, Spark, Ray or equivalent tools, enabling reliable downstream consumption.
Define and enforce standards around data quality, contracts, schema validation, lineage, and metadata.
Work with incomplete, inconsistent, and evolving data sources, handling schema drift, edge cases, and operational failures with strong engineering judgment.
Operate within cloud-native environments (GCP/AWS), working with storage, messaging (e.g., Pub/Sub), and infrastructure as code.
Continuously improve systems by increasing observability, reducing operational risk, and simplifying architecture.

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