Data Engineer LATAM (Python/PySpark/AWS Glue/Amazon Athena/SQL/Apache Airflow)

Let’s be direct: We’re looking for a technical powerhouse. If you’re the developer who: * Is the clear technical leader on your team * Consistently solves problems others can’t crack * Ships complex features in half the time it takes others * Writes code so clean it could be published as a tutorial * Takes pride in elevating the entire codebase Then we want to talk to you. This isn’t a role for everyone, and that’s by design. We’re seeking developers who know they’re exceptional and have the track record to prove it. What you’ll do * Build, optimize, and scale data pipelines and infrastructure using Python, TypeScript, Apache Airflow, PySpark, AWS Glue, and Snowflake. * Design, operationalize, and monitor ingest and transformation workflows: DAGs, alerting, retries, SLAs, lineage, and cost controls. * Collaborate with platform and AI/ML teams to automate ingestion, validation, and real-time compute workflows; work toward a feature store. * Integrate pipeline health and metrics into engineering dashboards for full visibility and observability. * Model data and implement efficient, scalable transformations in Snowflake and PostgreSQL. * Build reusable frameworks and connectors to standardize internal data publishing and consumption.