Data Engineer - Fresh Grad, Big Data & ETL Pipelines

XIAOMI TECHNOLOGIES SINGAPORE PTE. LTD.; Singapore; Sur place; SGD 60 000 - 90 000; Plein temps

Résumé du poste

Xiaomi's Singapore-based data team operates and maintains mobile device and app data warehouses, ensuring data availability and reliability. The role focuses on building scalable big data processing architectures and ETL/ELT pipelines to support business needs, with collaboration across cross-functional teams to deliver accurate data solutions.

Responsibilities include designing data architectures, maintaining pipelines, writing SQL and Python scripts, and documenting data models and knowledge

Qualifications

• Bachelor's degree in computer science, software engineering, or related fields.
• Understanding of big data architectures such as Hadoop, Spark, Flink, Doris, and Iceberg.
• Proficiency in Python or Java with solid knowledge of data structures, algorithms, and operating systems.
• Effective teamwork and communication skills.

Responsabilités

• 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

Description du poste

Xiaomi's Singapore-based data team operates and maintains mobile device and app data warehouses, ensuring data availability and reliability. The role focuses on building scalable big data processing architectures and ETL/ELT pipelines to support business needs, with collaboration across cross-functional teams to deliver accurate data solutions.

Responsibilities include designing data architectures, maintaining pipelines, writing SQL and Python scripts, and documenting data models and knowledge