Data Analyst Engineering SPARK Airflow Data Engineer Data Analysis
- Develop and operate cross-company data infrastructure. - Manage data integration and data pipelines. - Aggregate data from various internal products, services, and - CRM tools into a data lake. - Appropriately distribute the data collected in the data lake to analysis and ML platforms. - Build and maintain data analysis infrastructure. - Optimize DWH performance. - Ensure data quality.
- Good at English (four skills) AI software development - Experienced developing AI algorithm or understand how it works from scratch - Developed an Application Programming Interface as an internet service - Operated and manipulated an API service by using an appropriate software - Controlled and tuned accuracy through operating data Data engineering - At least 5 years as Data Engineer - Data Warehousing - ETL Processes - Cloud Platforms (AWS, Azure, GCP) - Python - SQL - Big Data Technologies (Hadoop, Spark, Kafka) - Data Modeling - Data Quality - Data Security - Version Control (Git) Tools - Configuration management: Terraform - CI/CD: GitHub Actions - Monitoring and logging: Datadog, Cloud Monitoring, CloudWatch - Project management: JIRA Cloud, Miro,... - Documentation: Kibela, Google Workspace - Spark: 2-3 years of experience - Airflow: 1 year (As a user not administrator) Cloud architecture - Experienced developing a system by using some cloud services on AWS, GCP or Azure(AWS is preferable). - Understood cloud service components from architectural perspective(To know what can do, how it works and what should be paid attention) - Designed and integrated a system with appropriate security.
Caring Mental & Physical Recreation: - Hybrid working: 2 days at the office and 3 days WFH - Working hour: Flexible start 8AM-9AM from Mon-Fri - Full salary in probation - Insurance: Applied from Probation period: - Social Insurance, Health Insurance, Unemployment Insurance (on 100% salary) - Private health insurance & accident insurance. From Managing level: extra for family members - Bonus: 13th month salary - 16 - 24 paid days off and more - Paternity leave: Extra 5 days - Annual company trip; Quarterly team building - Billiards & Running club - Annual health check - Well-equipped facility: Macbook pro, additional monitor,.. Caring Career & Development: - Clear Career path - Foreign language & International technology-related certifications sponsoring - External & internal training courses - Soft-skill workshops - Tech seminars - Monthly and biannual Recognition Awards - Performance & salary review: twice/year (Jun & Dec)
![[KR] Business Development Trailblazer](/assets/img/female5.webp)
Ứng viên có 2 năm kinh nghiệm được không bạn ?
Candidate must have at least 5 years as Data Engineer
Developing AI Algo của Principal Data Engineer là ở mức độ nào (hiểu lý thuyết, hỗ trợ tích hợp, hay thực sự code mô hình) ha bạn ?
AI Software development: Experienced developing AI algorithm or understand how it works from scratch -mình tưởng yêu cầu này thường là do bên role AI/ML engineer sẽ build AI Models hơn là role thuộc về Data Engineer chứ. Hay ý của công ty là hiểu cách thuật toán AI hoạt động" để hỗ trợ tích hợp dữ liệu cho AI/ML platforms nhỉ ?