Job content

Data Pipeline Development

• Design, build, and maintain scalable data pipelines and ETL processes to support various business needs
• Develop and optimize data architecture and data models to ensure efficient data storage and retrieval

Data Management

• Ensure data integrity, accuracy, and consistency across multiple data sources
• Implement data quality checks and monitoring solutions to detect and resolve data issues

Collaboration

• Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions
• Collaborate with cross-functional teams to integrate data from various sources into the data warehouse

Performance Optimization

• Optimize database performance, including query tuning and indexing
• Implement best practices for data management, data security, and compliance

Technical Leadership

• Mentor and guide junior data engineers, providing technical guidance and support
• Stay updated with the latest industry trends and technologies to continuously improve the data engineering practices

Documentation and Reporting

• Create and maintain comprehensive documentation for data pipelines, processes, and data models
• Develop reports and dashboards to provide insights and support decision-making

Candidate requirements

• Bachelor's or master's degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering or a similar role
• Proficiency in programming languages such as Python, Java, or Scala
• Strong experience with SQL and database management systems (eg, MySQL, PostgreSQL, Oracle).
• Hands-on experience with big data technologies (eg, Hadoop, Spark, Kafka)
• Experience with cloud platforms (eg, AWS, Azure, Google Cloud) and their data services
• Familiarity with ETL tools (eg, Informatica, Talend, Apache Nifi) and data integration frameworks
• Knowledge of data warehousing concepts and technologies (eg, Snowflake, Redshift, BigQuery)
• Strong problem-solving and the ability to work independently and skills in a team environment
• Excellent communication skills, both written and verbal

Preferred Skills

• Experience with containerization and orchestration tools (eg, Docker, Kubernetes)
• Understanding of machine learning and data analytics concepts
• Experience with CI/CD pipelines and version control systems (eg, Git)
• Certification in cloud data services or big data technologies

Interest

• Probation salary is 100% of the official salary
• 13th-month salary and performance review twice a year
• Bonus for special occasions each year (Labor Day, National Day, Solar New Year, Lunar New Year)
• Project bonus
• Employee's professional certification and training allowances subject to company regulations
• BIC Care Health Insurance
• Annual Health Assessment
• Social, health and unemployment insurance following government policy
• Enjoy company summer trips and other team building activities held monthly and quarterly
• Creative and dynamic working environment
• Work five days per week with flexible check-in time