Performance Optimization
Data Management
Bachelor&039;s degree in computer science, Engineering, or a related field.
Experience with version control systems (e.g., Git) and CI/CD pipelines.
Preferred Skills
Ensure all data engineering practices comply with company policies and industry standards.
On- site- Hanoi, Vietnam
Understanding of machine learning and data analytics concepts.
Assist in integrating data from different sources into a unified data warehouse.
Experience with ETL tools (e.g., Talend, Apache Nifi) and data integration processes.
Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
Documentation
2- 4 years of experience in data engineering or a related role.
Proficiency in programming languages such as Python or Java.
Knowledge of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery).
Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
Experience with NoSQL databases (e.g., MongoDB, Cassandra).
Data Pipeline Development
Hanoi, Vietnam
Implement and monitor data quality checks to maintain high standards of data quality.
Optimize data processing workflows and database performance.
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.
Identify and resolve data- related issues and bottlenecks.
Collaboration
Certification in cloud data services or big data technologies.
Strong problem- solving skills and attention to detail.
English communication skills, both written and verbal, is a plus point.
Ensure data integrity, accuracy, and consistency across all data systems.
Working Mode
Requirements
Work with structured and unstructured data from various sources.
Data Engineer
Create and maintain documentation for data pipelines, processes, and data models.
Responsibilities
Develop, maintain, and optimize data pipelines and ETL processes to ensure efficient data flow and integration.
Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
