As a Data Engineer, your role will involve constructing a high-quality data solution that aligns with clients' objectives.

You will evaluate and enhance the current processes of clients, developing and testing architectures like databases and large-scale processing solutions. Additionally, you will create ETLs/ELTs to handle data from different sources and formats, contribute to the selection of data solutions and development tools, and establish API connections using various languages and tools.

Responsibilities:

• Build enterprise-grade data solutions to execute clients' vision
• Understand and improve clients' current state processes
• Develop, construct, and test architectures like databases and large-scale processing solutions
• Create ETLs/ELTs to handle data from various sources and formats
• Advise on data solutions and development tools selection
• Develop APIs and use scripting languages to integrate systems
• Build transformation and validation code for complex data aggregation and calculation
• Document technical specifications for solution requirements
• Plan, design, and lead the implementation of a large-scale data platform
• Collaborate with technical architects and application designers on data conversion requirements and procedures
• Analyze and integrate new data sources into existing pipelines and models
• Develop go-to-market strategies and expand team capabilities

Requirements:

• Bachelor's degree (or higher) in mathematics, statistics, computer science, engineering, or related field
• At least 3 years of experience with data pipeline tools such as Azure Data Factory, Airflow, Informatica, or Databricks
• Hands-on programming skills in SQL, Java, Python, C++, Scala, SAS, or Kafka
• Practical experience with implementing large-scale enterprise data solutions like data lakes, data warehouses, or data mesh
• Deep understanding of cloud computing and data technologies (Azure, AWS, Google Cloud, Alibaba Cloud, Tencent Cloud)
• Familiarity with Agile and DevOps methodologies
• Knowledge of emerging technologies (Big Data, Blockchain, Internet of Things, Artificial Intelligence) is a plus
• Strong problem-solving skills and logical thinking
• Excellent multitasking and task management abilities
• Confident in decision-making and explaining processes
• Excellent communication and interpersonal skills
• Proficient in spoken and written English and Chinese.