Data Engineer (Junior Level)

XIAOMI TECHNOLOGIES SINGAPORE PTE. LTD.; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

Xiaomi Technologies Singapore Pte. Ltd. is hiring to support the operation, maintenance and development of the overseas data warehouse. You will build ETL/ELT pipelines, apply data modeling and mining to deliver insights via analytics and visualization.

Key tasks include operating and improving data pipelines for mobile, IoT and app data, transforming raw data into actionable insights, and collaborating with cross-functional teams to meet analytics needs using Tableau or Power BI.

Qualifications

• Bachelor degree in CS/SE/DS or related field.
• 0–3 years experience in data engineering, analytics, or related role.
• Proficiency in SQL and at least one programming language (Python/Java/Scala).
• Familiarity with big data frameworks (Hadoop/Spark/Flink).

Responsibilities

• Operate, maintain, and develop overseas data warehouse for mobile, IoT, and app data.
• Develop data processing techniques and analytics applications to turn raw data into insights.
• Build and maintain ETL/ELT pipelines using Python and SQL.
• Apply data modeling and data mining to process structured datasets.
• Analyze large datasets to support overseas business operations.
• Create data visualizations and reports using BI tools like Tableau or Power BI.
• Collaborate with cross-functional teams to gather data requirements.
• Participate in testing, deployment, and monitoring of data workflows for reliability.

Skills

SQL

Python

Java/Scala

Tableau

Power BI

Education

Bachelor's degree in Computer Science / Software Engineering / Data Science

Tools

SQL

Python

Java/Scala

Job description

Job Summary

Support the operation, maintenance, and development of the company's overseas data warehouse by building ETL/ELT pipelines, applying data modeling and mining techniques, and delivering actionable insights through data analytics and visualization.

Responsibilities

• Operate, maintain, and develop the company's overseas data warehouse for mobile device, IoT, and app data domains
• Develop and implement data processing techniques and analytics applications to convert raw data into actionable insights
• Build and maintain ETL/ELT pipelines using data-oriented programming languages such as Python and SQL
• Apply data modeling and data mining techniques to process structured and semi-structured datasets effectively
• Analyze large datasets to generate insights that support overseas business operations
• Create data visualizations and reports using BI or visualization tools like Tableau or Power BI
• Collaborate with cross-functional teams to gather data requirements and support analytics use cases
• Participate in testing, deployment, and monitoring of data workflows to ensure reliability and performance

Required competencies and certifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field
• 0-3 years of experience in data engineering, data analytics, or a related role
• Proficiency in SQL and at least one programming language such as Python, Java, or Scala
• Familiarity with big data frameworks such as Hadoop, Spark, or Flink
• Basic understanding of data modeling and data warehousing concepts

Preferred competencies and qualifications

• Exposure to data visualization tools such as Tableau or Power BI
• Basic knowledge of data mining or machine learning concepts
• Good communication and teamwork skills
• Mandarin proficiency