PALO IT is seeking a Data Engineer in CDMX to design and implement scalable data solutions for an insurance client. You will build resilient data pipelines, enable underwriting analytics, and support fraud prevention with robust data governance.
You will work with Spark, Databricks, dbt, Kafka, and Airflow in a hybrid setup across AWS/GCP/Azure, collaborating with data scientists and business stakeholders. Expect growth opportunities within a integral, AI-native consulting environment.
📌 AI-Native Data Engineer | Hybrid, Cloud Pipelines (Ciudad de México)
🏢 Palo It
📍 Ciudad de México
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