数据研发工程师
发布于 大约 1 小时前普通员工/个人贡献者
AI 估算 · 30k–50k
High demand for data engineers in Singapore, with competitive pay from Xiaomi and premium skills in Spark/Flink.
职位详情
关于这个职位
This role involves developing data pipelines and models to support business analysis for Xiaomi's TV products. You will collaborate with business teams to improve product quality and user experience through data insights, and contribute to data warehouse design, data governance, and quality management.
最低要求
Bachelor's degree or above in Computer Science or data-related fields.
工作职责
Collaborate with business stakeholders to fulfill data analysis and application requirements, responsible for data ingestion, cleaning, processing, and modeling.
优先资格
Experience with Hadoop development is preferred.
AI 洞察
优缺点分析
优点
- Work with a large-scale tech ecosystem at a renowned global company.
- Gain experience with mainstream big data technologies (Spark, Flink) that are widely demanded.
- Collaborate with cross-functional teams, enhancing business acumen.
- Competitive compensation in Singapore's tech market.
- Data engineering can involve repetitive pipeline maintenance and troubleshooting.
- Requires continuous learning to keep up with evolving big data tools.
- Work-life balance may vary
- no explicit WLB guarantees in JD.
- Suitable for candidates who enjoy hands-on data engineering, have a strong foundation in coding and big data frameworks, and seek a stable yet rewarding career in a multinational environment.
缺点 / 挑战
暂无明显挑战项
角色解读
- Progress from data developer to senior data engineer, leading complex data projects.
- Opportunity to transition into data architecture or data science roles with deeper expertise.
- Potential to specialize in specific domains like data governance or real-time processing.
- Build and maintain data pipelines for ingestion, cleaning, and processing to support business analytics.
- Analyze TV product quality and user experience data, collaborating with business teams to identify improvement opportunities.
- Design and develop data warehouse models and tables, ensuring efficient data organization.
- Participate in data governance initiatives, managing data lineage and quality.
- Strong SQL and experience with big data frameworks like Hive, Spark, and Flink.
- Proficiency in Python or Shell for data processing and automation.
- Solid Java/Scala development skills for building scalable data processing applications.
- Understanding of data modeling and warehouse concepts, with good logical thinking.
申请策略
- Tailor your resume to emphasize data engineering skills rather than generic software development.
- Research Xiaomi's TV products and think about how data can drive user experience improvements.
- Highlight hands-on projects using Spark, Flink, or Hive for large-scale data processing.
- Emphasize proficiency in Java/Scala and Python, with examples of production code.
- Showcase any experience with data warehouse design, data governance, or data quality improvement.
- Include quantifiable results, such as reduced processing time or improved data accuracy.
- Practice building end-to-end data pipelines using Spark Streaming or Flink.
- Brush up on data modeling techniques and warehouse schema design.
面试指南
- Use the STAR method for behavioral questions: Situation, Task, Action, Result.
- For technical questions, structure by problem, approach, trade-offs, and outcome.
- Demonstrate your logical thinking by breaking down complex problems into components.
- Can you describe a data pipeline you built from scratch, including data sources, transformations, and delivery?
- How do you handle data quality issues such as duplicates or missing values?
- Explain the difference between Hive and Spark, and when to use each.
- Describe a time you collaborated with a non-technical business team to solve a data problem.
- How would you design a data warehouse for a streaming service like Xiaomi TV?
职位点评
Competitive pay in Singapore, solid data engineering skills, but limited work-life balance signals and modest social impact.
从薪资福利、成长空间、工作节奏和岗位方向综合评估，方便横向比较。
薪资福利
The role offers competitive compensation in Singapore's tech market, though the JD does not disclose specific figures. Xiaomi's scale suggests stable benefits and pay.
成长发展
The position provides exposure to mainstream big data technologies (Spark, Flink, Hive) and opportunities to work on data warehouse and governance, which are valuable for career growth.
工作生活
The work is based in Singapore with no explicit remote or flexible work arrangements mentioned. Work-life balance is uncertain, but the role appears to be a standard office job.
使命价值
The role supports Xiaomi's TV products, contributing to user experience, but the social impact is moderate and the industry is mature, limiting a strong sense of purpose.