Data Engineer, Senior Consultant/Manager, Finance Solutions Expert

3 weeks ago

Hong Kong, Central and Western District, Hong Kong SAR China KPMG China Full time
Job Overview

KPMG China is committed to providing high-quality services to our clients, with a strong focus on serving their needs and industries. Our team of experts works together to translate insights into action and reveal opportunities for growth and governance.

Service Line Overview

KPMG's Finance Consulting team enables clients to maximize the performance of their Finance function and uses the latest technology to improve insights for growth and governance. Our team in Hong Kong is the fastest growing division within KPMG China, representing a young and enthusiastic team that always pushes itself to succeed. We have developed in-depth knowledge of a broad spread of sectors and services.

Key Responsibilities

  1. As a Data Engineer, you will build enterprise-grade data solutions to execute clients' visions.
  2. You will understand the current state process of the clients and bring it to future state improvement and solution.
  3. You will develop, construct, and test architectures such as databases and large-scale processing solutions.
  4. You will create ETLs/ELTs to handle data from various data sources and formats, including batch and streaming ETLs.
  5. You will provide advice on data solutions and development tools selection.
  6. You will develop APIs and employ various languages and tools to marry systems together.
  7. You will build transformation and validation code that applies complex data aggregation and calculation in different programming languages.
  8. You will document and write technical specifications for the requirements of the solution.
  9. You will plan, design, and lead the implementation of a large-scale data platform.
  10. You will work with technical architects and application designers to understand data conversion requirements and design conversion procedures and applications.
  11. You will analyze new data sources and work with stakeholders to integrate new data into existing pipelines and models.
  12. You will develop go-to-market strategies with team leaders and expand team capabilities.

Requirements

  1. Bachelor's degree (or higher) in mathematics, statistics, computer science, engineering, or a related field.
  2. At least 3 years of working experience on data pipelines, Azure Data Factory, Airflow, Informatica, or Databricks.
  3. Hands-on programming skills in SQL, Java, Python, C++, Scala, SAS, or Kafka.
  4. Practical experience with implementing large-scale enterprise data solutions, including data lakes, data warehouses, and data meshes.
  5. Deep understanding of cloud computing and data technologies, business drivers, emerging computing trends, and deployment options.
  6. Experience with Agile and DevOps methodologies.
  7. Knowledge of market trends and emerging technologies such as Big Data, Blockchain, Internet of Things, and Artificial Intelligence.
  8. Strong problem-solving skills and logical thinking.
  9. Excellent multitasking skills and task management strategies.
  10. Ability to complete milestones and work toward multiple deadlines simultaneously.
  11. Confident in decision making and the ability to explain processes or choices as needed.
  12. Excellent communication and interpersonal skills.
  13. Proficient in both spoken and written English and Chinese.

About KPMG China

KPMG China is committed to being an equal opportunity employer, with zero tolerance for any form of discrimination against any persons. We strive to create an inclusive, diverse, and agile workplace for our people to develop and thrive at both a personal and professional level. We aim to make ESG a watermark running through our organization, empowering our people to become agents of positive change and providing better solutions and services to our clients to help them achieve their ESG goals.

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