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In 2025, the Data Platform Engineering team is going to implement various data processing tasks on the newly built next-generation data platform. We aim to further optimize data storage, processing, application, interfaces, and other dimensions. Throughout the continuous iteration process, we will also incorporate new data components and consider new data architectures (such as Lake House) to achieve faster data scheduling, significantly reducing data latency and enabling more efficient operation of data engineering applications. In this data engineering role, we are seeking engineers with a background in data engineering to join us in various aspects of data engineering, leveraging your past experiences in the field.
Job Responsibility:
Engage in technical decision-making, custom development, integration, and performance optimization at the foundational level, extending to the development of service layer infrastructure components, application layer, and data processing, including third-party data integration
Develop and automate large-scale, high-performance distributed data processing systems (batch/streaming)
Advocate for high-quality software engineering practices to establish scalable data infrastructure and pipelines
Contribute to defining shared data engineering tool standards
Provide guidance to junior engineers
Take the lead in system design
Drive medium and large-scale projects that create an impact across the entire team
Provide dotted-line guidance to Data Platform Engineer II(s) to support them in driving project delivery
Requirements:
5+ years of relevant experience as a data engineer
Bachelor's or Master's degree in CS/CE/CIS (or equivalent experience)
Knowledge of Kotlin / Java / Scala / Python / SQL
Knowledge of Kafka, Data Lake, Spark, Flink, DBT, Spring Boot, Hadoop, BigQuery, and Snowflake is preferred
Ability to take ownership of designing, building, and operating distributed systems and establishing overarching data architecture
Possess strong working knowledge of Real-time/Batch processing systems