Data Engineer: AWS, Spark & Airflow in Madrid
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Summary
Data Engineer on the Madrid team building robust data pipelines with AWS data analytics services, Apache Airflow, Docker, Python, SQL, and PySpark/Spark. Requires 3+ years in data engineering and fluent Spanish and English communication.
Multinational Company is seeking a Data Engineer to join our Madrid team. The role requires 3+ years in data engineering, with 2+ years using AWS data analytics services and hands-on experience in Python, SQL, and PySpark/Spark.
The ideal candidate will work with AWS Data Services and Docker, contribute to building robust data pipelines using Apache Airflow, and communicate fluently in Spanish and English.