Consulting, Financial Services - Data & Analytics - Senior Associate - Hong Kong
EY
Hong Kong, Hong Kong
21分钟前

Diversity is a core value at EY. We are passionate about building and sustaining an inclusive and equitable working environment for all of EY people.

We believe every member in EY teams enrich our diversity by exposing us to a broad range of ways to understand and engage with the world, identify challenges, and to discover, design and help deliver solutions.

The Opportunity

The EY Financial Services technology consulting team is continuing to grow and develop appropriate technology propositions aligned to market needs and demand, in particular in the space of Data and Analytics.

We work collaboratively with the financial services clients and other EY teams to enhance their ability to use and interpret modern technologies and data, and develop their own enhanced capabilities to support better choices making, along with regulatory compliance, within their business.

EY consultants need the vision to articulate the big picture and the precision to see the smallest of details, all whilst focusing on the financial services domain.

Technology and information are the assets which help enable this, and our data and analytic practice provides innovative approaches to unlocking this value, solving many of EY clients’ biggest challenges.

If you think you can meet the criteria of a focused consulting organization, understand how to grow in a growing services and work in the most complex of sectors, EY teams are looking forward to hearing from you.

Your Key Responsiliities

As a Data Engineer you will work with EY teams to help deliver solutions utilising leading big data platforms and cloud technologies.

Our current team is working on some of the latest technologies in the region using advanced analytics solutions such as AWS, Azure, Hortonworks, Cloudera etc.

This is a varied role that will involve a mix of big data and traditional EDW projects and will find you :

  • Designing and delivering solutions within big data environments such as AWS, Azure, Hortonworks, Cloudera etc.
  • Working on projects across the Hadoop ecosystem including technologies such as Cloudera, Hortonworks, Spark, Python, Hbase etc.
  • Working with data integration technologies such as Informatica, Datastage, SSIS, Nifi, Talend
  • Working with data storage technologies such as Oracle, AWS Redshift, Azure SQL Data Warehouse
  • To qualify for the role, you must have

    You will be an accomplished consultant and enjoy helping provide strategic solutions around all things data with previous experience across business intelligence, data warehousing, big data, advanced analytics or reporting environments.

    Your past experience might have found you playing the role of :

  • Data Engineer, Data Analyst, ETL Designer / Developer
  • Ideally, you’ll also have

  • Fluency in English
  • Experience of working in, or consulting into, the financial services sector
  • Good communication and presentation skills (written and verbal) in Chinese (Cantonese or Mandarin)
  • At least 5 years’ experience as an ETL developer or data engineer within the data and analytics domain
  • Project delivery toolset experience in one or more batch ETL tools (such as Informatica, Microsoft SSIS or Talend) or open source data integration tools (such as Kafka or Nifi)
  • Knowledge and experience in broad project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
  • Exceptional communication, documentation and presentation skills
  • What working at EY offers

  • Support, training, coaching and feedback from some of the most engaging colleagues around
  • A variety of roles and client experiences, you will have the opportunity to work on multiple client projects solving complex problems across financial services
  • Opportunities to develop new skills and progress your career
  • The freedom and flexibility to handle your role in a way that’s right for you
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