Data Engineer (Middle)
CÔNG TY TNHH AMARIS VIỆT NAM
Địa điểm làm việc: Hồ Chí Minh
Hết hạn: 05/12/2024
- Chi tiết công việc
- Giới thiệu công ty
Thu nhập: Thoả thuận
Loại hình: Toàn thời gian
Kinh nghiệm: 2 năm
Mô tả công việc
ABOUT THE JOB
Responsible for implementing robust data pipeline using Azure Stack
Responsible for creating reusable and scalable data pipelines
Responsible for using Databrick to build model in Datalake/Azure Synapse
Work with the leadership to set the standards for software engineering practices within the machine learning engineering team and support across other disciplines
Data engineers' provision and set up data platform/Streaming data technologies that are on-premises and in the cloud.
Manage and secure the flow of structured and unstructured data from multiple sources.
The data platforms include relational databases, nonrelational databases, data streams, and file stores.
Responsible for implementing robust data pipeline using Azure Stack
Responsible for creating reusable and scalable data pipelines
Responsible for using Databrick to build model in Datalake/Azure Synapse
Work with the leadership to set the standards for software engineering practices within the machine learning engineering team and support across other disciplines
Data engineers' provision and set up data platform/Streaming data technologies that are on-premises and in the cloud.
Manage and secure the flow of structured and unstructured data from multiple sources.
The data platforms include relational databases, nonrelational databases, data streams, and file stores.
Yêu cầu
ABOUT YOU
Bachelor's degree in Computer Science, Information Technology, or a related field.
From 2+ years of experience in data engineering.
Hand-on experience or knowledge of Azure services like HD Insight, Azure DataBricks etc.
Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce is desirable but not essential
Working knowledge of the pros, cons and usages of various ML/DL applications (such as Keras, Tensorflow, Python scikit learn and R)
Contribution to industry/open source communities
Knowledge and practical experience of cloud-based platforms and their ML/DL offerings (such as Google GCP, AWS, and Azure) would be advantageous
Understanding of infrastructure (including hosting, container-based deployments and storage architectures) would be advantageous.
Knowledge on Linux, Iseries, Windows
Bachelor's degree in Computer Science, Information Technology, or a related field.
From 2+ years of experience in data engineering.
Hand-on experience or knowledge of Azure services like HD Insight, Azure DataBricks etc.
Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce is desirable but not essential
Working knowledge of the pros, cons and usages of various ML/DL applications (such as Keras, Tensorflow, Python scikit learn and R)
Contribution to industry/open source communities
Knowledge and practical experience of cloud-based platforms and their ML/DL offerings (such as Google GCP, AWS, and Azure) would be advantageous
Understanding of infrastructure (including hosting, container-based deployments and storage architectures) would be advantageous.
Knowledge on Linux, Iseries, Windows
Quyền lợi
Benefits
13th-month salary
14+ annual leaves per year
Premium healthcare insurance, starting from your probation period
Project reviews and yearly performance appraisals
Annual company trips
Teambuilding activities: Team lunch/dinner, events, and celebrations, sports clubs (football, yoga, badminton, etc.)
International team with flexible working time + hybrid working
Tailor-made career path
Technical workshops and training courses
Mobility: Opportunities to be on-site abroad in our offices in over 60+ countries
13th-month salary
14+ annual leaves per year
Premium healthcare insurance, starting from your probation period
Project reviews and yearly performance appraisals
Annual company trips
Teambuilding activities: Team lunch/dinner, events, and celebrations, sports clubs (football, yoga, badminton, etc.)
International team with flexible working time + hybrid working
Tailor-made career path
Technical workshops and training courses
Mobility: Opportunities to be on-site abroad in our offices in over 60+ countries
Thông tin khác
Địa điểm làm việc
- Hồ Chí Minh
Thời gian làm việc
Thứ 2 - Thứ 6 (từ 09:00 đến 18:00)
- Hồ Chí Minh
Thời gian làm việc
Thứ 2 - Thứ 6 (từ 09:00 đến 18:00)
Thông tin chung
- Thu nhập: Thoả thuận
Cách thức ứng tuyển
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Hạn nộp: 05/12/2024
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