
Tối ưu lợi thế cạnh tranh trước khi ứng tuyển
Xem phân tích mức độ phù hợp và so sánh với ứng viên đã ứng tuyển
Hơn 90% người dùng hài lòng
Mô tả công việc
*According to Decree No.13/2023/ND-CP on protecting personal data (“PDP”), Home Credit Vietnam would apply "Personal Data Processing Agreement" with all candidates to ensure compliance with the decree.
By submitting this application to Home Credit Vietnam Finance Company Limited through Vietnamworks, you agree to allow Home Credit to proceed your provided information in accordance with Personal Data Processing Agreement that you have read, fully understood and agreed to the entire content at link https://career.homecredit.vn/vn/article/id/217.
KEY RESPONSIBILITIES
- Analyze data from data producers and transform them into unified form, organize them within the data platforms and/or analytical/production feature store, produce base & derived features in line with Risk Modelling team requirements
- Closely cooperate with IT department on implementing company wide data products following standardized development practices
- Develop, maintain and monitor data pipelines preparing suitable data for analytic & reporting activities
- Set up effective data quality monitoring to detect and remedy discrepancies (collaborate with HQ teams)
- Drive utilization of Big Data Hadoop platform to reduce dependence on DWH Analytical Playgrounds
- Support implementation of MLOps solution aiming to significantly transform data preparation, model development, deployment and monitoring
• Work closely with our data scientists to understand their requirements and challenges and provide them with tailored solutions to optimize their workflows
• Build local expertise for end-to-end development, deployment and monitoring of ML models using Feature Store solution
• Deliver data processing mechanisms for real-time data processing and analytical use to utilize the value of new technologies
- Guarantee technical and operational excellence by:
• Performing code reviews to guarantee high standards and code quality and providing constructive feedback to Junior members
• Designing innovative technical solutions to optimize and elevate the functionality of the Data Platform and Data Products
• Sharing best practices on relevant technical topics to foster collaborative learning environment
Yêu cầu công việc
KEY REQUIREMENTS
• University degree in Computer Science, Engineering or related field
• 2+ years of experience in Data Engineering, nice to have experience in Feature Engineering
• Programming Language: SQL and Python on advanced level
• Hands-on experience with Big Data ecosystem, data integration, transformation, processing and visualization tools (Hadoop OR Spark, Hive, Kafka, Airflow, Jupyter)
• Good English & communication skills
COMPENSATION & BENEFITS
• 13th Salary Fixed and KPI Bonus
• Premium Health Care
• 24/7 Accidental Insurance
• 100% Social Insurance
• Meal + Phone Allowance
• Yearly Medical Checkup
• 15 Annual Leaves
• Professional and Transparent Working Environment
• Apply Latest Financial Technology in the World
Phân tích mức độ cạnh tranh
VietnamWorks AI
-
Bạn phù hợp bao nhiêu % cho vị trí này?
-
Bạn xếp hạng Top bao nhiêu so với những hồ sơ ứng tuyển?
-
Thị trường đang trả mức lương bao nhiêu cho vị trí tương tự?
-
Nhu cầu tuyển dụng cho vị trí này trên thị trường cao hay thấp?
Giá
29.000đ / lượt
Các phúc lợi dành cho bạn
Thưởng
Chăm sóc sức khoẻ
Nghỉ phép có lương
Thông tin việc làm
19/02/2025
Nhân viên
Công Nghệ Thông Tin/Viễn Thông > Data Engineer/Data Analyst/AI
Spark, Hadoop, PySpark, Big Data, Data Engineer
Tài Chính
Bất kỳ
Không yêu cầu
Không hiển thị
Địa điểm làm việc
20 Nguyễn Đăng Giai, Thao Dien, District 2, Ho Chi Minh City, Vietnam
Phu Nu Building, 20 Nguyen Dang Giai, Thao Dien Ward, District 2, HCMC
(Xem bản đồ)Nhận diện một số hình thức lừa đảo
Lừa đảo thu phí
Đưa ra lời mời làm việc dễ dàng bất thường, đãi ngộ cao, kèm theo yêu cầu nộp các loại phí.
Xem chi tiết