Senior Data Engineer ( 25-35M)

CÔNG TY CỔ PHẦN QUỐC TẾ ANH VĂN HỘI VIỆT MỸ 189 Nguyễn Thị Minh Khai, P. Phạm Ngũ Lão
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Chi tiết tuyển dụng

Mức lương: 25 - 35 Triệu
Khu vực: Hồ Chí Minh
Chức vụ: Nhân viên
Hình thức làm việc: Toàn thời gian
Lĩnh vực: Khác

Mô tả công việc

❖ SCOPE OF WORK
As a Senior Data Engineer/Analyst, you will play a pivotal role in Edtech team of VUS by working collaboratively with the engineering, product, and devops teams to ensure the effective validation, maintenance, and operation of our data platform.
❖ KEY RESPONSIBILITIES
- Work in tandem with the DevOps team to maintain and operate our highly available and scalable data platform.
- Collaborate closely with the engineering and product teams to validate data modules and requirements.
- Manage and optimize ETL processes for large datasets.
- Utilize technical stacks, including modern data platform tools such as Google Cloud, Clickhouse, BigQuery, Airflow, Dataflow, DBT, Dataform, Kafka, ZetaSql, and more.
- Utilize experience with cloud data platforms, such as AWS or GCP.
- Work with various databases, including MySQL, Clickhouse, PostgreSQL, MongoDB, and Elasticsearch.
- Apply knowledge of data warehousing concepts, data modeling, and SQL.
- Develop a strategic mindset and the ability to transform data analysis into meaningful business recommendations.

Quyền lợi được hưởng

Annual company travel opportunities.
Free provision of work uniforms.
Facilitate laptop support for work requirements.
Annual health examination.
Participate in 100% Insurance compliance with current Labor Laws.
Annual vacation leave entitlement.
Evaluate salary increases based on performance and achievements.
Attend the company's skill training courses.
Probation time: 100% of official salary.

Yêu cầu kỹ năng

❖ TECHNICAL SKILLS REQUIREMENTS
- Familiarity with modern data platform tools, including BigQuery, Clickhouse, Airflow, Dataflow, DBT, Dataform, Kafka, ZetaSql, and more.
- Experience with big streaming data platforms.
- Proven experience in ETL processes involving large datasets.
- Minimum of 3 years of experience in data engineering and analytics roles.
- Demonstrate proficiency in programming with Python/Golang.
- Experience with cloud data platforms like AWS or GCP.
- Knowledge of data warehousing concepts, data modeling, and SQL.
- Outstanding time management skills and the ability to manage multiple deadlines simultaneously.
- Excellent communication and storytelling skills.
❖ PERSONALITY
- You have a strong passion for researching to maintain up-to-date knowledge of technology solutions, industry trends and best practices for the team
- You are well-organized and attentive to details to ensure all technical documents and materials are well documented throughout the whole development process.
- You have strong interpersonal and problem-solving skills
- You are highly adaptable, inspirational and possess an entrepreneurial spirit.