EY looking for Data Scientist with 2-4 years of experience
Application Period: May 17, 2018 - June 29, 2018
Contact: To apply, visit link below.
EY's people in more than 150 countries are committed to operating with integrity, quality and professionalism in the provision of audit, tax, transaction and advisory services. We strive to help all of our people achieve their professional and personal goals through an inclusive environment that values everyone's contributions, appreciates diversity of thought, fosters growth, and provides continuous opportunities for development. Recognized as one of Canada's top employers, EY continually strives to be a great place to work.
Our IT Advisory Analytics practice works collaboratively with our clients to enhance their ability to use and interpret data, and develop their own enhanced information management capabilities to support better decision making, along with regulatory compliance within their business. Our clients need the vision to articulate the big picture and the precision to see the smallest of details.
Information and intelligence are the assets which enable this, and our Analytics practice provides innovative approaches to unlocking this information, solving many of our clients’ biggest challenges. We are working to integrate this capability into all Advisory service offerings and assists clients to leverage data as an asset throughout its business processes.
We are looking for someone to:
We are looking for someone with:
Lead event stream analytics initiative and create the foundation for event data collection at EY Canada.
Design and build highly scalable and responsive platform to collect the data across all the brands and all devices (mobile apps, desktop …)
Work with teams across EY to drive the new platform adoption.
2-4 years of experience building and shipping highly scalable clickstream data pipelines and analytics systems on distributed data systems and cloud platforms (AWS/Azure/GCP)
Experience with Java, Scala, Python etc.
Solid experience in streaming technologies like Kafka or Spark Streaming.
Experience building batch, real-time and streaming analytics pipelines with data from event data streams, NoSQL and APIs.
Experience with batch & stream processing technologies such Spark, KStreams, Samza etc.
CS Degree or equivalent experience
If you think you can meet the challenges of a focused consulting organisation, understand how to grow and lead in a large practice and work in the most complex of sectors our Analytics team is looking forward to hearing from you.
EY is committed to inclusiveness, equity and accessibility. We encourage all qualified candidates to apply.