Data Pipeline Development

Develop, maintain, and optimize data pipelines and ETL processes to ensure efficient data flow and integration.
Work with structured and unstructured data from various sources.
Data Management

Ensure data integrity, accuracy, and consistency across all data systems.
Implement and monitor data quality checks to maintain high standards of data quality.
Collaboration

Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
Assist in integrating data from different sources into a unified data warehouse.
Performance Optimization

Optimize data processing workflows and database performance.
Identify and resolve data-related issues and bottlenecks.
Documentation

Create and maintain documentation for data pipelines, processes, and data models.
Ensure all data engineering practices comply with company policies and industry standards.

- Timework: Hybrid (3 off, 2 on)
- Bachelor's degree in computer science, Engineering, or a related field.
2-4 years of experience in data engineering or a related role.
- Proficiency in programming languages such as Python or Java.
- Strong experience with SQL and relational databases (e.g., MySQL, PostgreSQL, SQL Server).
- Familiarity with big data technologies (e.g., Hadoop, Spark) and data processing frameworks.
- Experience with ETL tools (e.g., Talend, Apache Nifi) and data integration processes.
- Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
- Strong problem-solving skills and attention to detail.
- English communication skills, both written and verbal is a plus point.
Preferred Skills:

Experience with NoSQL databases (e.g., MongoDB, Cassandra).
Knowledge of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery).
Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
Understanding of machine learning and data analytics concepts.
Experience with version control systems (e.g., Git) and CI/CD pipelines.
Certification in cloud data services or big data technologies.

Trong tuần: Từ thứ 2 - thứ 6

Trong ngày: Từ 08:30 giờ - 18:00 giờ

- Onsite allowance 100k/working day.
- No need for probation, official job, 100% salary and full insurance according to Vietnamese labor law (social insurance, health insurance, unemployment insurance) after 2 months.
- Performance evaluation once every 6 months, corresponding to the salary review period based on capacity and performance.
- Long service bonus, project bonus, 13th month salary bonus, work efficiency bonus at the end of the year.
- Maternity allowance for female employees.
- Participate in company activities: Monthly, quarterly parties, teambuilding, travel, relaxation and other activities
- Opportunities to onsite and work with big customers, advanced technology, personal development...
- Opportunity to work in groups with many leading experts in the field of domestic and international IT.
- Opportunity to implement ambitious projects in many countries, gain exposure to the latest technologies and learn from talented colleagues.
- Work in a youthful, vibrant, modern and multicultural environment. Communication activities and events on holidays take place regularly.
- Promotion opportunities based on capacity with corresponding rank increases and salary increases.
- Have the right to participate in soft skills training courses (logical thinking, creative thinking, communication skills, project management skills, negotiation skills...) and Japanese language classes.
- And many other attractive benefits...

Cầu Giấy, Hà Nội