Mã số:
CRM Backend Engineer

Home Credit Việt Nam

Tầng G, 8 và 10 Tòa nhà Phụ Nữ Số 20 Nguyễn Đăng Giai, Phường Thảo Điền TP.Thủ Đức, TP.HCM

Thoả thuận

Ngày cập nhật: 20/10/2023

Hạn nộp hồ sơ: 31/10/2024

Kinh nghiệm:
Chức vụ: QUẢN LÝ CẤP TRUNG
Yêu cầu bằng cấp: ĐẠI HỌC
Yêu cầu giới tính: Không yêu cầu
Số lượng cần tuyển: 1 nhân viên
Hình thức làm việc: Toàn thời gian
Ngành nghề: THIẾT KẾ - ĐỒ HỌA
Địa điểm làm việc: HỒ CHÍ MINH
Mô tả công việc
  • Develop and maintain SAS components including SAS jobs, SAS backend process, SAS Process, Web Service
  • Manage and develop SAS integrations with internal systems and Cloud system •Fine-tuning SAS DB performance.
  • Optimize SAS campaigns and applications’ performance
  • Manage SAS patches & services in all environments
  • Manage & maintain SAS Data Mart
  • Customize information maps, business contexts, campaign definition, response definition, common data model, treatment, campaign marketing & decision solution.
Yêu cầu công việc
  • Participate in cross-functional, cross-discipline Headquarter architecture to enhance and set architectural direction for key business initiatives.
  • Develop standards, patterns, and best practices for backend SAS script, and SAS Technical Solution architectural principles and guidelines …focusing on reusability and acceleration
  • Produce logical and technical SAS solutions to meet strategic business, financial, and technology objectives through system documentation, architectures, process flows, and value-chains.
Quyền lợi được hưởng
  • University Degree Finance, Economy, IT, MIS, BIS or relevant major
  • Have good software development fundamentals of backend, distributed systems, and building API based applications for financial services
  • Understanding of SOA & Microservices Architecture, Kafka, RabbitMQ
  • Proficiency in Database administration
  • Hand on experience in programming with multiple languages including java, xml programming, scripting language,…
  • Knowledge of cloud orchestration systems such as Kubernetes and cloud providers such as AWS, GCP, and Azure
  • Knowledge of Design and Implementation ETL procedures, Data Mart
  • Good knowledge regarding to SDLC, Agile principle, system development & maintenance Ability to interpret / analyse data via SQL tools