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Mô tả công việc
Mô tả công việc
Tóm tắt công việc
We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.
Responsibilities for Data Engineer
Create and maintain optimal data pipeline architecture
Assemble large, complex data sets that meet functional / non-functional business requirements
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, AWS 'big data' technologies and on-premise data-center.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.
Very competitive salary
Private health insurance cover for VinMec and top hospitals in VN
The preferences when using the services of the Vingroup's member companies.
Training course and certificates support
Team building/company trips
Opportunities to join a diverse and talented team
And many more!
Tóm tắt công việc
We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.
Responsibilities for Data Engineer
Create and maintain optimal data pipeline architecture
Assemble large, complex data sets that meet functional / non-functional business requirements
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, AWS 'big data' technologies and on-premise data-center.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.
Very competitive salary
Private health insurance cover for VinMec and top hospitals in VN
The preferences when using the services of the Vingroup's member companies.
Training course and certificates support
Team building/company trips
Opportunities to join a diverse and talented team
And many more!
Yêu cầu
Yêu cầu công việc
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing 'big data' data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
We are looking for a candidate with 2+ years of experience in a Data Engineer role, who has attained a
Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
Experience with big data tools: Hadoop, Spark, Kafka, Flink, etc.
Experience with relational SQL and NoSQL databases, including MySQL, Oracle, Postgres.
Experience with data pipeline and workflow management tools: Airflow, NiFi.
Experience with AWS cloud services: EC2, EMR, RDS
Experience with stream-processing systems: Flink, Spark-Streaming, etc.
Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing 'big data' data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
We are looking for a candidate with 2+ years of experience in a Data Engineer role, who has attained a
Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
Experience with big data tools: Hadoop, Spark, Kafka, Flink, etc.
Experience with relational SQL and NoSQL databases, including MySQL, Oracle, Postgres.
Experience with data pipeline and workflow management tools: Airflow, NiFi.
Experience with AWS cloud services: EC2, EMR, RDS
Experience with stream-processing systems: Flink, Spark-Streaming, etc.
Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.
Thông tin khác
25-99
Product
Việt Nam
Data Engineer
VinBigdata
Hai Bà Trưng, Hà Nội
Thỏa Thuận
Toàn thời gian
English
Có kinh nghiêm (Nhân viên)
1
1
Ngày Đăng:10/12/2021
Ứng tuyển
Product
Việt Nam
Data Engineer
VinBigdata
Hai Bà Trưng, Hà Nội
Thỏa Thuận
Toàn thời gian
English
Có kinh nghiêm (Nhân viên)
1
1
Ngày Đăng:10/12/2021
Ứng tuyển
Thông tin chung
- Ngày hết hạn: 14/01/2022
- Thu nhập: Thỏa thuận
Giới thiệu công ty
Xem trang công ty
Công ty cổ phần VinBigdata được thành lập theo định hướng của Tập đoàn Vingroup: trở thành tập đoàn Công nghệ - Công nghiệp - Thương mại Dịch vụ hàng đầu khu vực, với công nghệ chiếm tỷ trọng chính. Với lợi thế đặc biệt về hạ tầng dữ liệu lớn, VinBigdata cung cấp các sản phẩm, giải pháp tiên tiến ứng dụng Trí tuệ nhân tạo, giúp doanh nghiệp đẩy nhanh quá trình chuyển đổi số, tối ưu hiệu quả vận hành, kinh doanh và gia tăng trải nghiệm người dùng cuối.
VinBigData - nơi tuyển dụng và quy tụ những nhà khoa học, kỹ sư, chuyên gia hàng đầu; nơi vun đắp nhân tài và giấc mơ công nghệ, là bệ phóng cho những ý tưởng táo bạo nhất để đưa con người tự tin bước vào kỷ nguyên số.
Chế độ phúc lợi:
- Mức lương hấp dẫn, tương xứng với năng lực và cạnh tranh trên thị trường.
- Thời gian làm việc linh hoạt (phê duyệt của quản lý trực tiếp).
- Tham gia nghỉ mát, hoạt động teambuilding của công ty.
Cơ hội phát triển:
- Cơ hội làm việc trong môi trường chuyên nghiệp, công nghệ dẫn đầu về AI, quy tụ hơn 100 nhà khoa học, chuyên gia, kỹ sư đến từ các trường đại học hàng đầu thế giới và Việt Nam như: ĐH Yale (Mỹ), ĐH Johns Hopkins (Mỹ), ĐH Illinois (Mỹ), ĐH Toulouse (Pháp), ĐH Cambridge (Anh Quốc), Đại học Bách Khoa, Đại học Công nghệ - Đại học Quốc gia, ...
- Được xây dựng kế hoạch phát triển cá nhân và tham gia đào tạo kỹ năng, chuyên môn phù hợp.
Môi trường làm việc:
- Văn phòng hiện đại, tiện nghi, trẻ trung và chuyên nghiệp.
- Môi trường làm việc cởi mở, khuyến khích nhân viên đóng góp ý kiến, sáng kiến, ý tưởng.
- Được cấp máy tính xách tay, trang thiết bị làm việc khác phù hợp với yêu cầu công việc.
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