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About
What You’ll Do As part of our global expansion, we're seeking a Data Engineer to design and build batch/real-time data warehouses and maintain data platforms that power trading and research for the US market. You'll work on data pipelines, APIs, storage systems, and quality monitoring to ensure reliable, scalable, and efficient data services.
Responsibilities
Design and build batch/real-time data warehouses to support the US market growth
Develop efficient ETL pipelines to optimize data processing performance and ensure data quality/stability
Build a unified data middleware layer to reduce business data development costs and improve service reusability
Collaborate with business teams to identify core metrics and data requirements, delivering actionable data solutions
Discover data insights through collaboration with the business owner
Maintain and develop enterprise data platforms for the US market
Qualifications
7+ years of data engineering experience with a proven track record in data platform/data warehouse projects
Proficient in Hadoop ecosystem (Hive, Kafka, Spark, Flink), Trino, SQL, and at least one programming language (Python/Java/Scala)
Solid understanding of data warehouse modeling (dimensional modeling, star/snowflake schemas) and ETL performance optimization
Familiarity with AWS/cloud platforms and experience with Docker, Kubernetes
Experience with open-source data platform development, familiar with at least one relational database (MySQL/PostgreSQL)
Strong cross-department collaboration skills to translate business requirements into technical solutions
Bachelor's degree or higher in Computer Science, Data Science, Statistics, or related fields
Comfortable working in a fast-moving fintech/tech startup environment
Bonus Point Experience with DolphinScheduler and SeaTunnel is a plus
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Languages
- English
Notice for Users
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