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Support the launch →Designs and builds a full data pipeline from scratch, ensuring data quality and traceability in a greenfield project, focusing on end-to-end data engineering principles.
Builds and maintains data pipelines and storage infrastructure to support analytics and business intelligence using Python, SQL, Hadoop, Spark, and cloud platforms.
Builds and maintains scalable data pipelines and warehouses in GCP, using BigQuery, Cloud Storage, and Airflow to enable analytics-driven decisions.
Build and optimize data pipelines, ETL/ELT workflows, and dimensional models using PySpark and Palantir Foundry for enterprise clients in Madrid.
Build and maintain data platforms using Starburst and Dell Data Lakehouse to enable cross-platform data access for an AI team.
Data Engineer building and maintaining scalable pipelines for a banking client using Python, Scala, Spark, Airflow, and Kubernetes.