Responsibilities
As a Data Engineer, you will build the enterprise-grade data solution to execute clients' vision
- Understand the current state process of the clients and bring it to future state improvement and solution for Big data and AI assisted data analytics
- Develop, construct and test data architectures such as databases and large-scale processing solutions
- Create ETLs / ELTs to handle data from various data sources and various formats, Batch ETL and real-time / near real-time Streaming ETL
- Provide advice on the data solutions & development tools selection (cloud / hybrid cloud)
- Develop API and employ a variety of languages and tools , scripting languages, to perform data integration
- Build transformation and validation code that appliesplex data aggregation and calculation in different programming languages depending on the project scope and requirements
- Document and write technical specifications for the requirements of the solution
- Plan, design and lead the implementation of a large-scale data platform (cloud / hybrid cloud)
- Work with the technical architects and application designers to understand the data conversion requirements fully and to design the conversion procedures and applications
- Analyse new data sources and work with stakeholders to integrate new data into existing pipelines and models
- Develop go-to-market strategies with team leaders and expand team data capabilities
Experience & Background
Bachelor's degree (or higher) in mathematics, statistics,puter science, engineering, data analytics or related fieldAt least 1 year of working experience on data pipeline , Azure Data Factory / Databricks / Informatica / Google Cloud BigQuery, Dataflow, BigTable / AWS GlueHands on data related programming skills , SQL / Python / Scala / JavaPractical Experience with implementing large-scale enterprise modern data solutions data lake / data warehouse / data meshAt least 1 year of working experience on cloud data solution with deep understanding of cloudputing and data technologies, business drivers, emergingputing trends, and deployment options in one of the cloud platform Azure / AWS / Google Cloud / Alibaba Cloud / Tencent CloudCertified in public cloud data engineers would be a advantageAzure Data Engineer AssociateGCP Professional Data Engineer CertificationAWS Certified Data Analytics - SpecialtyExperience in dataernance, data visualisation (, PowerBI, Tableau), GraphDB (, Neo4j), NoSQL (, MongoDB) would be advantageExperience with Agile & DevOps methodologiesKnowledge of market trends and emerging technologies such as Big Data, Internet of Things, Artificial Intelligence, etc would be advantageStrong problem-solving skills and logical thinkingExcellent multitasking skills and task management strategiesAbility toplete milestones and work toward multiple deadlines simultaneouslyConfident in decision making and the ability to explain processes or choices as neededExcellentmunication and interpersonal skillsProficient in both spoken and written English and ChineseAbout KPMG
At KPMG China, we aremitted to being an equal opportunity employer, with zero tolerance for any form of discrimination against any persons. It is important for us to create an inclusive, diverse and agile workplace for our people to develop and thrive at both a personal and professional level.
We strive to make ESG (environmental, social andernance) a watermark running through our organisation; from empowering our people to be agents of positive change, to providing better solutions and services to our clients to help them achieve their ESG goals. View Our Impact Plan to learn more about our ESGmitments and progress across four key pillars -ernance, People, Planet and Prosperity - and how we make a positive impact on our people, environment and society.
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Job ID 56258643