Senior Data Engineer - next gen data analytics platform project - hà nội - ta139NGÂN HÀNG TMCP VIỆT NAM THỊNH VƯỢNG - VPBank
Nơi làm việc: Hà Nội
Ngành nghề: Đầu tư, Tư vấn/ Chăm sóc khách hàng, IT phần mềm, Vận tải - Lái xe/ Tài xế, Quản lý điều hành, Thống kê
Lương: Cạnh Tranh
Hình thức: Toàn thời gian
Ngày đăng: 20/03/2024
Hạn nộp: 30/04/2024
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
Our vision is to transform VPB into a data led organization by providing the data platform and data products to provide ability to consistently analyze, report and query information to make timely decisions using standardized Enterprise Data & Analytics applications capabilities; enable data and analytics driven culture at VPB through stable and flexible architecture that supports sourcing of structured, semi-structured and unstructured data & tools; meet future regulatory, strategic and operational data management requirements by enhancing the current data management capabilities not just at the enterprise level, but across our ecosystem.
The position purpose is to develope the Next Gen Data Analytics Platform of VPBank:
Design Implement data pipeline between data analytics layers such Curated Layer, Data Marts, Data Engines etc.
Join in EDA projects as be requested
Develop and deliver quarterly/ monthly CRs.
Solve issue/ incidents as Level 3 support
Provide support through IT Service Desk (CA) ticket.
Participate in data project to implement data and analytics platform for the bank
Identify most optimal solution and design data pipelines
Setup and configure required services on AWS Cloud to serve building data pipeline
Understands the key features of the enterprise data analytics platform, its ambitions and challenges to propose best fit solution.
Identify and resolve issues of the data pipelines, ensuring smooth data flow and accurate results.
Develop Data API
Collaborate with Ops team to manage all environment builds, including design, capacity planning, cluster setup, performance tuning and ongoing monitoring.
The principal function of a developer is to make specific tasks, based on the business's specifications:
Develop data pipeline serving data processing for different analytics layers
Make the deploy package to implement into other environment (test, pilot, production) and check list to deployment.
Writing detailed technical specification documentation
Writing the document for the operation of the program by operators
Manage analysis of existing data structures and identifies areas for efficiency improvements
Updating, repairing, modifying and developing existing development
Providing the knowledge to make the best solution of the business development
Investigate and troubleshoot for issues, incidents and problems of application as level 3 support
Study the technical updates and make the change or do upgrading release in Development area
Follow the EDA processes (development, operation) and Bank processes
The position purpose is to develope the Next Gen Data Analytics Platform of VPBank:
Design Implement data pipeline between data analytics layers such Curated Layer, Data Marts, Data Engines etc.
Join in EDA projects as be requested
Develop and deliver quarterly/ monthly CRs.
Solve issue/ incidents as Level 3 support
Provide support through IT Service Desk (CA) ticket.
Participate in data project to implement data and analytics platform for the bank
Identify most optimal solution and design data pipelines
Setup and configure required services on AWS Cloud to serve building data pipeline
Understands the key features of the enterprise data analytics platform, its ambitions and challenges to propose best fit solution.
Identify and resolve issues of the data pipelines, ensuring smooth data flow and accurate results.
Develop Data API
Collaborate with Ops team to manage all environment builds, including design, capacity planning, cluster setup, performance tuning and ongoing monitoring.
The principal function of a developer is to make specific tasks, based on the business's specifications:
Develop data pipeline serving data processing for different analytics layers
Make the deploy package to implement into other environment (test, pilot, production) and check list to deployment.
Writing detailed technical specification documentation
Writing the document for the operation of the program by operators
Manage analysis of existing data structures and identifies areas for efficiency improvements
Updating, repairing, modifying and developing existing development
Providing the knowledge to make the best solution of the business development
Investigate and troubleshoot for issues, incidents and problems of application as level 3 support
Study the technical updates and make the change or do upgrading release in Development area
Follow the EDA processes (development, operation) and Bank processes
Yêu cầu công việc
We are looking for candidates with:
A bachelor's degree in computer science, information systems, or equivalent work experience, is required
2-5 years working as Cloud Data Engineer
Proven skill of developing and tuning code in Spark for data processing in Data Lake, Data Warehouse, Data Engines etc.
Proven skill of developing and deploying Dbt for data transformation
Strong track record of implementing AWS services in a variety of distributed computing environments.
Knowledge of the primary AWS services such as EKS, EC2, Redshift, S3 etc...
Hands on experiences with BI tools such as Power BI or similar
Be familiar with modern software development practices. (CI/CD, TDD etc.)
An understanding of bank business domain is preferred.
3+ year experience in design data model and developing data pipeline
Strong relational database knowledge with SQL Server, Oracle or similar
Experience withdata analysis and modeling skills on analytics platform such as Databricks or similar is desired.
Experience building Test and Monitoring pipeline is a plus
Understanding analytical models is a plus
Excellent verbal and written communication skills
Teamwork, careful, attention to detail, logical thinking
What we offer:
Attractive income, competitive salary and bonus according to ability (16-18-month package)
Bonus on Holidays and New Year (according to banking policy from time to time)
Get preferential loans according to the bank's policy from time to time.
Attractive leave mode according to job rank (12-18 paid leaves/year)
Compulsory insurance according to labor law & VPBank care insurance for employees depending on rank and working time.
Participate in training courses depending on the Training Framework for each position.
Working time: Monday - Friday & Saturday morning (two Saturday mornings/month off)
Dynamic, friendly working environment with many opportunities for training, learning and development; participate in many interesting cultural activities (sports events, talents, teambuilding activities...)
A bachelor's degree in computer science, information systems, or equivalent work experience, is required
2-5 years working as Cloud Data Engineer
Proven skill of developing and tuning code in Spark for data processing in Data Lake, Data Warehouse, Data Engines etc.
Proven skill of developing and deploying Dbt for data transformation
Strong track record of implementing AWS services in a variety of distributed computing environments.
Knowledge of the primary AWS services such as EKS, EC2, Redshift, S3 etc...
Hands on experiences with BI tools such as Power BI or similar
Be familiar with modern software development practices. (CI/CD, TDD etc.)
An understanding of bank business domain is preferred.
3+ year experience in design data model and developing data pipeline
Strong relational database knowledge with SQL Server, Oracle or similar
Experience withdata analysis and modeling skills on analytics platform such as Databricks or similar is desired.
Experience building Test and Monitoring pipeline is a plus
Understanding analytical models is a plus
Excellent verbal and written communication skills
Teamwork, careful, attention to detail, logical thinking
What we offer:
Attractive income, competitive salary and bonus according to ability (16-18-month package)
Bonus on Holidays and New Year (according to banking policy from time to time)
Get preferential loans according to the bank's policy from time to time.
Attractive leave mode according to job rank (12-18 paid leaves/year)
Compulsory insurance according to labor law & VPBank care insurance for employees depending on rank and working time.
Participate in training courses depending on the Training Framework for each position.
Working time: Monday - Friday & Saturday morning (two Saturday mornings/month off)
Dynamic, friendly working environment with many opportunities for training, learning and development; participate in many interesting cultural activities (sports events, talents, teambuilding activities...)
Quyền lợi được hưởng
Bảo hiểm
Du Lịch
Phụ cấp
Du lịch nước ngoài
Thưởng
Chăm sóc sức khỏe
Đào tạo
Tăng lương
Công tác phí
Phụ cấp thâm niên
Chế độ nghỉ phép
Chế độ tập thể dục
Du Lịch
Phụ cấp
Du lịch nước ngoài
Thưởng
Chăm sóc sức khỏe
Đào tạo
Tăng lương
Công tác phí
Phụ cấp thâm niên
Chế độ nghỉ phép
Chế độ tập thể dục
Nộp hồ sơ liên hệ
NGÂN HÀNG TMCP VIỆT NAM THỊNH VƯỢNG - VPBank
Giới thiệu công ty
NGÂN HÀNG TMCP VIỆT NAM THỊNH VƯỢNG - VPBank việc làm
Tầng 26, VPBank Tower, 89 Láng Hạ, Quận Đống Đa, TP Hà Nội
Quy mô: Trên 10.000 nhân viên
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Vị trí Senior Data Engineer - next gen data analytics platform project - hà nội - ta139 do công ty NGÂN HÀNG TMCP VIỆT NAM THỊNH VƯỢNG - VPBank tuyển dụng tại Hà Nội, Joboko tự động tổng hợp mức lương Cạnh Tranh, tìm thêm việc làm về Senior Data Engineer - Next Gen Data Analytics Platform Project - Hà Nội - TA139 hoặc công ty NGÂN HÀNG TMCP VIỆT NAM THỊNH VƯỢNG - VPBank ở các link phía trên
Giới thiệu công ty
NGÂN HÀNG TMCP VIỆT NAM THỊNH VƯỢNG - VPBank việc làm
Tầng 26, VPBank Tower, 89 Láng Hạ, Quận Đống Đa, TP Hà Nội
Quy mô: Trên 10.000 nhân viên