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, Java, etc.) with solid knowledge of data structures, algorithms, and operating systems
Effective teamwork and communication skills