Senior Data Engineer, AI & Data - Hong Kong

Senior Data Engineer, AI & Data

EY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. We implement information-driven strategies and systems that help grow, optimize and protect client organizations.

We go beyond strategy and provide end to end implementation of real-life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Senior Data Engineer (Senior Consultant or Manager) to join our team in our Hong Kong office.

The Opportunity

As our newest Senior Data Engineer, you will be the technical leader for data engineering and will work closely with the broader AI & Data team to deliver market leading solutions. Utilizing leading big data platforms and cloud technologies, your role will include but is not limited to:

• Design and deliver the data pipelines, interfaces, and architecture solutions utilizing cloud-based data and analytics platform - Azure, AWS or GCP and Hadoop ecosystem including technologies such as Cloudera, Hortonworks and MapR
• Design and develop of highly scalable data analytics platforms, distributed systems and automated data integration pipelines
• Work with data management technologies for data integration, data quality and governance, master data management, data lineage, data catalog, metadata management and data security
• Work with database technologies such as Azure SQL Data Warehouse, AWS Redshift, Oracle and NoSQL technologies such as Cosmo DB, Cassandra, MongoDB and Neo4j

Skills and attributes for success
 

With demonstrated experience delivering data projects as a Data Engineer or ETL developer and a minimum of 3-5 years’ experience in Data Management, you should additionally demonstrate:

• Experience in various data management architectures such as Data Warehouse, Data Lake, Data Fabrics and Data Hub

• Highly skilled data architecture, data modelling, data pipeline design, data integration and data quality solutions
  Demonstrated experience in handling unstructured data and structured data with large, complex and multiple data sets from various sources
• Strong in data integration tooling (Informatica, Datastage, SSIS, Nifi, Talend and Alteryx)
• Strong in SQL and proficient in one of the programming languages (Python/Scala, C#, Java and C++)
• Experience in Azure and AWS, GCP or other cloud environments
• Experience with real-time, near real-time, MQ and streaming solutions (Kafka, AWS Kinesis, Azure Event Grid/Hub, Service Bus and Spark Streaming)
• Fluency in English, Mandarin or Cantonese preferred

 Ideally, you’ll also have:
 

• Exceptional communicational skills and ability to build strong business relationships
• Experience with DevOps capabilities, Containerization techniques and knowledge on Machine Learning Models and Algorithms
• Exposure to JavaScript technologies is desirable

What we offer

A tech career @ EY means working with 40,000 fellow technologists who are creating cutting edge applications in blockchain, AI, cloud, analytics, robotics and cyber, harnessing tech to power the human enterprise and build a more equitable, sustainable world. We offer world class training and a free Tech MBA to all our people.

Globally at EY, we are committed to offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. 

The exceptional EY experience. It’s yours to build.