
Posted 9 days ago
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**Senior Data Engineer**, part of EY's Global Delivery Services (GDS), leads data engineering efforts. Key responsibilities include designing, implementing, and maintaining big data ecosystems using Hadoop/Hive, Spark, and other relevant technologies. Experience in cloud platforms like AWS or Azure is crucial. Applicants should have 7-10 years of experience in data engineering and a strong background in data modeling and ETL processes. Knowledge in SQL and Python is essential. Familiarity with data governance and data quality is a plus.
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