Data Engineer (AWS, Product, US Telecommunications)

• Design and implement scalable, reliable data pipeline including ingestion, process, and analysis of data coming from diverse sources.


• Develop data models, schemas and data Warehouse.


• Develop data services to enable user-facing analytics and model inference.


• Collaborate with Data Scientists to design and deploy a machine learning pipeline to enable quick life-cycle release.


• Collaborate with Leaders and Data Analysts to define key metrics and prepare data pipelines to help an internal team perform self-service on the analytical platform.

• Diploma / Bachelor's degree in Software Engineering, Information Technology or related majors.


• 3+ years of experience in the following:


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  • Have at least 3 years of experience in AWS cloud: Familiar with AWS microservices such as Glue, S3, Step Function, Lambda, REST API Gateway, Cloud watch, RDS, Redshift…
  
  
  • AWS solution architecture / AWS Certified Data Analytics certification will be preferable.
  
  
  • Proficiency in Python and SQL.
  
  
  • Experience in building and operating distributed big data systems.
  
  
  • Experience in building and optimizing the performance of Data Warehouses and data models.
  
  
  • Using and managing workflow management systems.
  
  
  • Proficiency in building and maintaining ETL pipelines (Airflow, Nifi).
  
  
  • Have experience with the Infrastructure of Code (IaC) with Terraform.
  
  
  • Able to build CI/CD pipeline to integrate with cloud infrastructure.
  
  
  
  

• Mức lương hấp dẫn
• Thử việc 2 tháng hưởng 100% lương.
• Đóng BHXH, BHYT, BHTN đầy đủ theo luật
• Thưởng cuối năm: Review tăng lương, Review thưởng dự án, Thưởng team
• Cơ hội Company trip bên công ty Mẹ tại Mĩ
• Cơ hội thăng tiến cao
• Cơ hội làm việc trong môi trường Global với Product lớn
• Thời gian làm việc: Từ thứ 2 tới Thứ 6 (Sáng 9h-12h; Chiều 13h-18h).
• Team building: 1 năm 2-3 lần (tùy vào tình hình kinh doanh thực tế của công ty).

Cập nhật gần nhất lúc: 2024-06-30 11:20:03