director, data Engineering (40000058)
Ngân hàng Thương mại Cổ phần Kỹ Thương Việt Nam (Techcombank)Địa điểm làm việc: Hà Nội
Hết hạn: 05/06/2024
- Chi tiết công việc
- Giới thiệu công ty
Mức lương: Thỏa thuận
Loại hình: Toàn thời gian
Chức vụ: Nhân viên
Job Purpose
The job holder responsible for:
- Leads team to design and develop programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from disparate sources and implement complex business logic as needed with the available data processing tools.
- Integrates new data sources to increase throughput of existing systems, manages data pipelines that facilitate robust analysis, and sources và prepares data to ensure data completeness on metadata platforms.
- Leads team to design and develop programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from disparate sources and implement complex business logic as needed with the available data processing tools.
- Integrates new data sources to increase throughput of existing systems, manages data pipelines that facilitate robust analysis, and sources và prepares data to ensure data completeness on metadata platforms.
Key Accountabilities (1)
Data Architecture
- Deliver functionality required for business and data analysts, data scientists and other business roles to advance the overall analytic performance and strategy of the bank
- Build the best practices and strategies for data infrastructure to fulfill data analytic and utilization needs of the business with emerging latest technologies and capabilities.
- Guide the team or teams in identifying opportunities to manage data and provide solutions for complex data feeds within the bank.
- Evaluate various data architectures in the bank and utilize them to develop data solutions to meet business requirements.
- Drive the delivery of data products and services into systems and business processes in compliance with internal regulatory requirements.
- Oversee the review of internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs.
- Deliver functionality required for business and data analysts, data scientists and other business roles to advance the overall analytic performance and strategy of the bank
- Build the best practices and strategies for data infrastructure to fulfill data analytic and utilization needs of the business with emerging latest technologies and capabilities.
- Guide the team or teams in identifying opportunities to manage data and provide solutions for complex data feeds within the bank.
- Evaluate various data architectures in the bank and utilize them to develop data solutions to meet business requirements.
- Drive the delivery of data products and services into systems and business processes in compliance with internal regulatory requirements.
- Oversee the review of internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs.
Key Accountabilities (2)
Data Integration
- Strategically obtain and integrate data and information from various sources into the firm's platforms, solutions and statistical models.
- Lead discussion with Data Scientists to understand the data requirements and create re-usable data assets to enable data scientists to build and deploy machine learning models faster.
- Design, build, and maintain optimized data pipelines and ETL solutions as business support tools in providing analysis and real time analytics platform for critical decision making.
- Ensure data assets are organized and stored in an efficient way so that information is high quality, reliable, flexible, and efficient.
Project Management
- Manage project conflicts, challenges and dynamic business requirements to keep operations running at high performance.
- Work with team leads to resolve people problems and project roadblocks, conduct post mortem and root cause analyses to improve practices for maximum productivity.
- Strategically obtain and integrate data and information from various sources into the firm's platforms, solutions and statistical models.
- Lead discussion with Data Scientists to understand the data requirements and create re-usable data assets to enable data scientists to build and deploy machine learning models faster.
- Design, build, and maintain optimized data pipelines and ETL solutions as business support tools in providing analysis and real time analytics platform for critical decision making.
- Ensure data assets are organized and stored in an efficient way so that information is high quality, reliable, flexible, and efficient.
Project Management
- Manage project conflicts, challenges and dynamic business requirements to keep operations running at high performance.
- Work with team leads to resolve people problems and project roadblocks, conduct post mortem and root cause analyses to improve practices for maximum productivity.
Key Accountabilities (3)
PEOPLE MANAGEMENT
- Oversee human resources planning and execution (headcount & costs) of their function/ sub- function
- Attract, onboard and retain the right talents for a high- performing team
- Establish and communicate sub- function/ function and individual KRAs/ KPIs, goals, action plan, expectations and results to reporting line
- Manage sub- function/ function performance & provide feedback regularly (following the annual performance management cycle)
- Define team's capability requirements and enable team member's professional and personal development through capability assessment, training, coaching & feedback, mentoring, etc.
- Motivate and recognize team members' contributions towards the team's shared goals
- Responsible for developing talents within the function/ sub- function
- Act as a role model and promote corporate culture at function/ sub- function level
- Understand & communicate relevant HR offerings to team members.
- Oversee human resources planning and execution (headcount & costs) of their function/ sub- function
- Attract, onboard and retain the right talents for a high- performing team
- Establish and communicate sub- function/ function and individual KRAs/ KPIs, goals, action plan, expectations and results to reporting line
- Manage sub- function/ function performance & provide feedback regularly (following the annual performance management cycle)
- Define team's capability requirements and enable team member's professional and personal development through capability assessment, training, coaching & feedback, mentoring, etc.
- Motivate and recognize team members' contributions towards the team's shared goals
- Responsible for developing talents within the function/ sub- function
- Act as a role model and promote corporate culture at function/ sub- function level
- Understand & communicate relevant HR offerings to team members.
Key Relationships - Direct Manager
Head of Data Engineering & Delivery
Key Relationships - Direct Reports
Data Engineer, Senior Data Engineer
Key Relationships - Internal Stakeholders
Business Tribe, Enabling Tribe (IT or Data - Engineer/Governance), division heads (Business, Finance, Risk, Corporate Affairs, IT), CEO, CIO, CDO, Chairman
Key Relationships - External Stakeholders
Partners and vendors providing professional services
Success Profile - Qualification and Experiences
Qualifications
- Bachelor's or Master's degree in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering or Information Technology
Work Experience
- 12+ years of relevant experience with developing, debugging, scripting and employing big data technologies (e.g. Hadoop, Spark, Flink, Kafka, Arrow, Tableau), database technologies (e.g. SQL, NoSQL, Graph databases), and programming languages (e.g. Python, R, Scala, Java, Rust, Kotlin) with preference towards functional/trait oriented, including 4+ years of equivalent managerial roles
- English proficiency requirements are pursuant to Techcombank's policy
- Deep experience in designing and building dimensional data models, ETL processes, applied data warehouse concepts and methodologies, optimized data pipelines and wore the architect hat in the past or worked with one extensively
- Deep experience with monitoring complex system and solving data and systems issues having a consistent and algorithmic approach to resolving them
- Deep understanding of Information Security principles to ensure compliant handling and management of all data
- Proven track-record in working in Agile teams to lead company-wide successful digital transformation initiatives and change management, having mastered and mentored on Agile principles, practices and Scrum methodologies
- Mastery in Data và Analytics and is an industry expert on the latest data-related technology trends
- Having a long history of architecting, coding and delivering high performance micro services and/or recommenders delivering recommendations to (tens of) millions of users
- Bachelor's or Master's degree in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering or Information Technology
Work Experience
- 12+ years of relevant experience with developing, debugging, scripting and employing big data technologies (e.g. Hadoop, Spark, Flink, Kafka, Arrow, Tableau), database technologies (e.g. SQL, NoSQL, Graph databases), and programming languages (e.g. Python, R, Scala, Java, Rust, Kotlin) with preference towards functional/trait oriented, including 4+ years of equivalent managerial roles
- English proficiency requirements are pursuant to Techcombank's policy
- Deep experience in designing and building dimensional data models, ETL processes, applied data warehouse concepts and methodologies, optimized data pipelines and wore the architect hat in the past or worked with one extensively
- Deep experience with monitoring complex system and solving data and systems issues having a consistent and algorithmic approach to resolving them
- Deep understanding of Information Security principles to ensure compliant handling and management of all data
- Proven track-record in working in Agile teams to lead company-wide successful digital transformation initiatives and change management, having mastered and mentored on Agile principles, practices and Scrum methodologies
- Mastery in Data và Analytics and is an industry expert on the latest data-related technology trends
- Having a long history of architecting, coding and delivering high performance micro services and/or recommenders delivering recommendations to (tens of) millions of users
Nộp hồ sơ liên hệ
Ngân hàng Thương mại Cổ phần Kỹ Thương Việt Nam (Techcombank)
Giới thiệu công ty
Xem trang công ty
Giới thiệu về Ngân hàng Thương mại Cổ phần Kỹ thương Việt Nam
Cùng với Vietcombank, Viettinbank thì Techcombank là ngân hàng thu hút được số lượng khách hàng sử dụng sản phẩm lớn bởi các chính sách cũng như dịch vụ chăm sóc, tư vấn và hỗ trợ người dùng tốt. Nơi đây cung cấp các dịch vụ, sản phẩm tài chính tiền tệ với sự phát triển ổn định, bền vững, quy mô rộng rãi và tạo được sự tin tưởng cho khách hàng từ lâu.Ngân hàng Techcombank tuyển dụng nhiều vị trí việc làm hấp dẫn
Với mạng lưới chi nhánh Techcombank (hay còn được gọi là Ngân hàng TMCP Kỹ Thương Việt Nam) trải rộng toàn quốc, ngân hàng này đã đáp ứng nhu cầu dịch vụ tài chính cho vay, gửi, thanh toán,... cho hơn 5 triệu khách hàng Việt. Sự phát triển mạnh mẽ của Techcombank với hơn 300 chi nhánh và phòng giao dịch trên cả nước, nhu cầu tuyển dụng nhân sự ngày càng cao. Trở thành nhân viên làm việc tại Techcombank, ứng viên sẽ có cơ hội được đào tạo, huấn luyện kỹ năng và kinh nghiệm trong môi trường chuyên nghiệp, năng động, cơ hội thăng tiến rõ rệt cùng với chế độ lương thưởng tốt.
Làm việc tại Ngân hàng Techcombank lương cao không?
Mức lương làm việc tại Ngân hàng Techcombank được tính theo kinh nghiệm, năng lực qua việc áp chỉ tiêu, doanh số. Vì vậy, nếu bạn có sự nỗ lực, cố gắng thì mức lương cũng tương đối ổn định. Ngoài mức lương cơ bản, nhân viên ngân hàng còn được hưởng các chế độ bảo hiểm, thưởng, phúc lợi khác theo quy định.Ứng tuyển vào Ngân hàng Techcombank cần bằng cấp không?
Nhiều vị trí tuyển dụng tại Ngân hàng Techcombank không đòi hỏi ứng viên có kinh nghiệm nên mở rộng cơ hội cho nhiều đối tượng. Tuy nhiên, hầu hết các vị trí đều yêu cầu ứng viên có bằng tốt nghiệp đại học trở lên các chuyên ngành tài chính ngân hàng, kinh tế hoặc chuyên ngành liên quan.Thông tin đăng ký kinh doanh Ngân hàng TMCP Kỹ thương Việt Nam (Techcombank)
Ngành nghề hoạt động Ngân hàng Techcombank
Sản phẩm
- Thẻ Techcombank.
- Trái phiếu iBond.
- Quỹ đầu tư iFund.
Dịch vụ
- Chuyển tiền liên ngân hàng, nộp phí bảo hiểm.
- Dịch vụ tài khoản.
- Ngân hàng điện tử.
- Tư vấn tiết kiệm.
- Vay vốn.
Thông tin liên hệ
Địa chỉ: Số 119 Trần Duy Hưng, Phường Trung Hòa, Quận Cầu Giấy, Hà Nội.
Một số vị trí Ngân hàng Techcombank tuyển dụng
Chuyên viên hỗ trợ bảo hiểm, Uiux Designer, chuyên viên khách hàng ưu tiên, chuyên gia đánh giá an ninh thông tin, chuyên viên khách hàng doanh nghiệp, chuyên viên cao cấp tiền lương và thuế, kiểm toán viên cao cấp.
Quy mô công ty
Từ 1000 - 5000 nhân viên
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03/06/2024
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