Data Engineer (Junior Level)
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