- Chi tiết công việc
- Giới thiệu công ty
Vị trí công việc này hiện tại đã hết hạn nộp hồ sơ, bạn có thể tham khảo thêm một số công việc liên quan phía dưới
Mô tả công việc
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.
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.
Yêu cầu
Bachelor's degree in computer science, Engineering, or a related field.
From 2 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.
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.
From 2 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.
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.
Quyền lợi
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 bonuses
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
Have chances to gain knowledge on the latest waves of blockchain, AI, Big Data
Professional, creative and dynamic working environment
Work five days per week with flexible working time
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 bonuses
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
Have chances to gain knowledge on the latest waves of blockchain, AI, Big Data
Professional, creative and dynamic working environment
Work five days per week with flexible working time
Thông tin chung
- Ngày hết hạn: 23/09/2024
- Thu nhập: Thỏa thuận
Giới thiệu công ty
Xem trang công ty
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