Job Description

The opportunity EY DnA 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 Data Engineer within the DnA team in our Malaysia office. This role is offered on a flexible full time basis. Your key responsibilities

• Work with diverse stakeholders to identify their challenges with data that can be addressed using various Analysis techniques.
• Be a part of a culture that focuses on delivering excellence for our clients and work with an awesome team of people to work with and access to cutting edge technologies.
• Flexibility to work in the way that brings out the best in you and encourages you to do what you love, in an environment that supports you.
• Be involved in all aspects of the Project life-cycle, including Strategy, Road-Mapping, Architecture, Implementation and Development in order to gain maximum exposure to set you up for a successful consulting career.

• At least 3 years\xe2\x80\x99 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 end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Exceptional communication, documentation and presentation skills
• Degree in Computer Science or IT or Business Analytics

• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects

• Experience in engaging with both technical and non-technical stakeholders
• Strong consulting experience and background, including engaging directly with clients
• Team management on Advanced Analytics, Business Intelligence, Data Warehousing, Big Data projects

• Continuous learning: You\xe2\x80\x99ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We\xe2\x80\x99ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We\xe2\x80\x99ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You\xe2\x80\x99ll be embraced for who you are and empowered to use your voice to help others find theirs.