Data Engineer(Junior Level)

Xiaomi Technology; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Xiaomi Technology in Singapore is hiring a data engineer/analyst to support the overseas data warehouse for mobile, IoT, and app data domains. You will develop data processing techniques and analytics applications to transform raw data into insights, and build ETL/ELT pipelines using Python and SQL.

Experience with Hadoop, Spark, or Flink, data modeling, and data warehousing concepts is preferred. Proficiency in Tableau or Power BI for visualizations and reports is valued.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field
• 1–3 years of experience in data engineering, data analytics, or a related role
• Familiarity with Hadoop, Spark, or Flink
• Proficiency in SQL and at least one programming language (Python, Java, or Scala)
• Basic understanding of data modeling and data warehousing concepts
• Exposure to data visualization tools (e.g., Tableau, Power BI)
• Basic knowledge of data mining or machine learning concepts is a plus
• Good communication and teamwork; ability to communicate in Mandarin and English with Mandarin-speaking stakeholders across regional markets.

Responsibilities

• Support the operation, maintenance, and development of the overseas data warehouse
• Develop and implement data processing techniques and analytics applications to transform raw data into meaningful insights
• Build and maintain ETL/ELT pipelines using data-oriented programming languages (e.g., Python, SQL)
• Apply basic data modeling and data mining techniques to process structured and semi-structured datasets
• Assist in analyzing large datasets and generating insights to support overseas business operations
• Create data visualizations and simple reports using BI tools (e.g., Tableau, Power BI)
• Collaborate with cross-functional teams to understand data requirements and support analytics use cases
• Participate in testing, deployment, and monitoring of data workflows

Skills

SQL

Python

Java

Scala

Hadoop

Spark

Flink

Data visualization

Data modeling

Data warehousing

Mandarin & English

Communication

Teamwork

Education

Bachelor's degree in Computer Science

Tools

Tableau

Power BI

Job description

Responsibilities

• Support the operation, maintenance, and development of the company's overseas data warehouse (mobile device, IoT, and app data domains)
• Develop and implement data processing techniques and analytics applications to transform raw data into meaningful insights
• Build and maintain ETL/ELT pipelines using data-oriented programming languages (e.g., Python, SQL)
• Apply basic data modeling and data mining techniques to process structured and semi-structured datasets
• Assist in analyzing large datasets and generating insights to support overseas business operations
• Create data visualizations and simple reports using BI or visualization tools (e.g., Tableau, Power BI, or similar)
• Collaborate with cross-functional teams to understand data requirements and support analytics use cases
• Participate in testing, deployment, and monitoring of data workflows

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field
• 1–3 years of experience in data engineering, data analytics, or a related role
• Familiarity with big data frameworks such as Hadoop, Spark, or Flink
• Proficiency in SQL and at least one programming language (Python, Java, or Scala)
• Basic understanding of data modeling and data warehousing concepts
• Exposure to data visualization tools (e.g., Tableau, Power BI)
• Basic knowledge of data mining or machine learning concepts is a plus
• Good communication and teamwork skills. Ability to communicate in Mandarin and English, in order to support coordination and collaboration with Mandarin‑speaking stakeholders, teams, and business partners across regional markets.