Microsoft-Excel, Java Programming, Design, Python Programming, C++, SQL, API, AWS, Apache Kafka, Scala Programming, Machine learning techniques, Data science techniques, Data Visualization, TensorFlow, Naive Bayes, R Programming, Algorithms, SPARK Programming, Github, SSIS, AWS Kinesis, Neural Networks, C# Programming, DataGrip, Data Warehousing
As a Senior Data Scientist / Senior Data Engineer, you will be the technical leader for advanced analytics, data science or data engineering within the EY DnA team in Hong Kong. You will work with broader DnA team to deliver solutions utilizing leading big data platforms and cloud technologies. Our team is working on some of the latest technologies in the region using advanced analytics solutions such as Azure, AWS, Cloudera, Snowflake etc.
Your main responsibilities include:
Skills And Attributes For Success
To qualify for the role, you must have:
Ideally, you’ll also have:
What We Offer
We strive to recruit the talented people. This means you will be surrounded by highly skilled and passionate individuals wherever you go at EY. When you join our team, you open the door to a stimulating international career. It is rewarding to be part of an organization that is at the forefront of analytics. You will get a chance to work on and support sophisticated and market-leading products. We are a global organization with a promising future and lots of opportunities for you to evolve and grow. A culture where respect, integrity and teaming define the way we work together. You'll also find support for your continuous growth and success.
Ernst & Young Global Limited, commonly known as Ernst & Young or simply EY, is a multinational professional services network with headquarters in London, England. EY is one of the largest professional services networks in the world.
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Munich, Germany
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Berlin, Germany
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Frankfurt, Germany
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Lisboa, Portugal
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Akron, OH, USA
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Charlotte, NC, USA
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Cleveland, OH, USA
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Cleveland, OH, USA
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Akron, OH, USA
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New York, NY, USA
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New York, NY, USA
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New York, NY, USA
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New York, NY, USA
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New York, NY, USA
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New York, NY, USA
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New York, NY, USA
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New York, NY, USA
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New York, NY, USA
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New York, NY, USA
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Sydney NSW, Australia
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Paris, France
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Lisboa, Portugal
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Lisboa, Portugal
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McLean, VA, USA
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Paris-La Défense, France
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McLean, VA, USA
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Frankfurt, Germany
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Berlin, Germany
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Houston, TX, USA
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Dusseldorf, Germany; Berlin, Germany; Hamburg, Germany; Munich, Germany
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Basel, Switzerland; Geneva, Switzerland; Zurich, Switzerland
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