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

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This a Full Remote job, the offer is available from: Latin America

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.

This offer from "Wizdaa" has been enriched by Jobgether.com and got a 77% flex score.
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