manager, data EngineerCông Ty Cổ Phần Onpoint Việt Nam
Nơi làm việc: Hồ Chí Minh
Ngành nghề: IT phần mềm, Thống kê, Marketing - PR, Xây dựng, Làm bán thời gian, Sinh viên làm thêm, Phát triển thị trường, Tiếp thị - Quảng cáo
Lương: Cạnh tranh
Hình thức: Toàn thời gian
Ngày đăng: 14/10/2021
Hạn nộp: 07/11/2021
Vị trí công việc này hiện tại đã hết hạn nộp hồ sơ, bạn có thể tham khảo thêm một số công việc tương tự tại đây:
Mô tả công việc
Reporting to the Head, Data Analytics Centre of Excellence you will be responsible for :
· Develop and continuously improve data pipeline architecture, including data crawling with RESTful API and web scrapping, data ETL / ELT, Data Lake / Data Warehouse / Data Marts, DataOps / MLOps.
· Perform technical review, coaching and guidance to Data Engineers who participate in various agile Squads. Provide technical expertise to enable Data Engineers to resolve blockers or impediments.
· Ensure that the Data Engineers design and implement scalable data pipeline solution in accordance to architecture, technology standards and best practices. Data pipeline must be able scale to assemble large, complex data sets from 1st, 2nd and 3rd party data sources in real-time.
· Setup DataOps / MLOps to accelerate the continuous integration and continuous deployment of Data Engineering and Machine Learning solutions. Collaborate with Data Engineers, Data Scientists and Data Analyts to onboard onto DataOps and MLOps.
· Setup automated monitoring solution to continuously monitor reliability, availability and performance of Data pipelines components and processes. Able to detect incidents in real-time, so that incidents can be resolved in near real-time.
· Ensure processes related to incident management and problem management are in place, including Service Level to ensure incidents and problems are resolved timely in accordance to Service Level.
· Develop and continuously improve data pipeline architecture, including data crawling with RESTful API and web scrapping, data ETL / ELT, Data Lake / Data Warehouse / Data Marts, DataOps / MLOps.
· Perform technical review, coaching and guidance to Data Engineers who participate in various agile Squads. Provide technical expertise to enable Data Engineers to resolve blockers or impediments.
· Ensure that the Data Engineers design and implement scalable data pipeline solution in accordance to architecture, technology standards and best practices. Data pipeline must be able scale to assemble large, complex data sets from 1st, 2nd and 3rd party data sources in real-time.
· Setup DataOps / MLOps to accelerate the continuous integration and continuous deployment of Data Engineering and Machine Learning solutions. Collaborate with Data Engineers, Data Scientists and Data Analyts to onboard onto DataOps and MLOps.
· Setup automated monitoring solution to continuously monitor reliability, availability and performance of Data pipelines components and processes. Able to detect incidents in real-time, so that incidents can be resolved in near real-time.
· Ensure processes related to incident management and problem management are in place, including Service Level to ensure incidents and problems are resolved timely in accordance to Service Level.
Yêu cầu công việc
In order to succeed in the role, you should ideally have:
· Degree in Computer Science, Computer Engineering, Information Systems or another quantitative field.
· More than 6 years hands-on engineering experience, with at least 3 years in Data Engineering.
· At least 2 years in people management experience.
· Hands-on experience with designing and implementing data pipeline on AWS Stack, including, AWS S3, Lambda, EC2 / Fargate, EKS, Glue, RDS Aurora, Redshift, Cloudwatch.
· Hands-on experience with 1 or more of the following tools and libraries - Airflow, Airbyte, Selenium, Python, Java, JavaScript, ELK, Apache Kafka, SQL, Apache Spark.
· Experience working with Agile development framework.
· Good communication skills with stakeholders, including various Technology teams, Data Analysis teams, Business teams.
· Able to communicate fluently in Vietnamese. Fluency in English is an added advantage.
· Degree in Computer Science, Computer Engineering, Information Systems or another quantitative field.
· More than 6 years hands-on engineering experience, with at least 3 years in Data Engineering.
· At least 2 years in people management experience.
· Hands-on experience with designing and implementing data pipeline on AWS Stack, including, AWS S3, Lambda, EC2 / Fargate, EKS, Glue, RDS Aurora, Redshift, Cloudwatch.
· Hands-on experience with 1 or more of the following tools and libraries - Airflow, Airbyte, Selenium, Python, Java, JavaScript, ELK, Apache Kafka, SQL, Apache Spark.
· Experience working with Agile development framework.
· Good communication skills with stakeholders, including various Technology teams, Data Analysis teams, Business teams.
· Able to communicate fluently in Vietnamese. Fluency in English is an added advantage.
Quyền lợi được hưởng
Thông tin khác
Nộp hồ sơ liên hệ
Công Ty Cổ Phần Onpoint Việt Nam
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Vị trí manager, data Engineer do công ty Công Ty Cổ Phần Onpoint Việt Nam tuyển dụng tại Hồ Chí Minh, Joboko tự động tổng hợp mức lương Cạnh tranh, tìm thêm việc làm về Manager, Data Engineer hoặc công ty Công Ty Cổ Phần Onpoint Việt Nam ở các link phía trên
Giới thiệu công ty
Công Ty Cổ Phần Onpoint Việt Nam việc làm
Tầng 1 toà nhà Parksimex, 52 Đông Du, P. Bến Nghé, Quận 1, TP.HCM
Quy mô: Từ 10 - 25 nhân viên