10 ago
|
Cashea
|
Buenos Aires
10 ago
Cashea
Buenos Aires
Hello We’re Cashea ?, and we’re on a mission to give Venezuelans back the opportunity to access credit through a BNPL business model. Since our launch in 2022, we’ve been dedicated to promoting financial inclusion. Today we have more than 9 million active users, both consumers and merchants, and we’ve become a trusted brand in Venezuela, winning hearts and minds ?.
About The Role
We’re looking for a Senior Data Engineer who owns the platform that turns raw operational data into trusted, analytics-ready data the whole company relies on. You’ll keep our orchestration and transformation layer scaling as we grow, with deep hands-on expertise across Cloud Composer (Airflow), dbt, and BigQuery on GCP, and you’ll be the person who makes good data engineering practice the norm across teams.
We run a medallion lakehouse on GCP: Datastream CDC pipelines replicate dozens of PostgreSQL databases into BigQuery bronze datasets, and dbt on BigQuery transforms them through bronze, silver, and gold layers. Orchestration runs on Cloud Composer / Airflow.
This role is part deep building and part enablement: you’ll scale Airflow, harden the platform, optimize cost and performance, and leave every team more capable of shipping reliable data than it was before.
Overall you will…
Own the health, performance, and scalability of our Cloud Composer (Airflow) environments, including environment sizing, worker autoscaling, DAG parse performance, and orchestration reliability across staging and production.
Design and extend our dbt on BigQuery transformation layer: incremental and CDC merge models, deduplication and SCD patterns, macros, tests, and source freshness across the bronze, silver, and gold layers.
Own our Datastream CDC pipelines feeding BigQuery, keeping the PostgreSQL to BigQuery flow healthy across schemas, backfills, and replication.
Build and improve our DataOps: CI/CD for DAGs and dbt with GitHub Actions and Workload Identity Federation, automated testing, deploy smoke tes
📌 Data Engineer (Buenos Aires)
🏢 Cashea
📍 Buenos Aires