Be responsible for the design, development, and maintenance of the data platform, including data warehouses, data lakes, and other data storage solutions, ensuring efficient data storage and management.
Take the lead in developing ETL processes to extract, clean, and transform data from multiple sources, ensuring data quality and supporting business analysis requirements.
Utilize big data technologies such as Python, Hadoop, Spark, and Flink to optimize data processing performance and handle massive data volumes efficiently.
Collaborate closely with data analysts and algorithm engineers to understand business needs, provide high‑quality data support, and contribute to business decision‑making.
Establish and improve data development specifications, processes, and standards to ensure the standardization and maintainability of data development work.
Qualifications
A bachelor’...
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