Description
Job Summary You will operate and maintain Xiaomi’s mobile and app data warehouses, ensuring data availability and reliability. Develop scalable big data processing architectures and ETL/ELT pipelines to support business needs and collaborate with cross-functional teams to deliver accurate data solutions.
Responsibilities
Operate and maintain mobile device and app data warehouses to ensure continuous data availability and reliability Analyze and model Xiaomi’s internet business processes to design and iterate big data processing architectures suited for complex scenarios Develop and maintain ETL/ELT pipelines to ingest, transform, and load data from multiple sources accurately and on schedule Monitor data pipeline health, troubleshoot data quality issues, and implement alerting systems to detect anomalies proactively Write efficient, well-structured SQL queries and Python/Shell scripts to support data processing, reporting, and ad-hoc business analysis Collaborate with data scientists, analysts, and product managers to translate data requirements into scalable data solutions Document data models, pipeline logic, and data dictionaries to maintain a comprehensive and accessible data knowledge base Required competencies and certifications Bachelor’s degree in computer science, software engineering, or related fields Basic understanding of big data technology architectures such as Hadoop, Spark, Flink, Doris, and Iceberg Proficiency in at least one programming language (Python, Ja
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