data Engineer (40000064)Ngân hàng Thương mại Cổ phần Kỹ Thương Việt Nam (Techcombank)
Hình thức: Toàn thời gian
Ngày đăng: 26/03/2024
Hạn nộp: 05/04/2024
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:
Job Purpose
- The job holder is responsible for developing 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.
- The job holder will be responsible for helping build a reliable, sustainable and scalable data processing platform, working with other tribe members to support data pipelines, convert models to machine learning codes and recommend Big Data reporting and visualization applications.
- The job holder will be responsible for helping build a reliable, sustainable and scalable data processing platform, working with other tribe members to support data pipelines, convert models to machine learning codes and recommend Big Data reporting and visualization applications.
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
Assist in building best practices and strategies for data infrastructure to fulfill data analytic and utilization needs of the business with emerging latest technologies and capabilities.
- Collaborate with relevant teams on opportunities to manage data and provide solutions for complex data feeds within the bank.
- Maintain data integration processes into the data platform by building data pipelines and align with business representatives and business information needs.
- Review 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
Assist in building best practices and strategies for data infrastructure to fulfill data analytic and utilization needs of the business with emerging latest technologies and capabilities.
- Collaborate with relevant teams on opportunities to manage data and provide solutions for complex data feeds within the bank.
- Maintain data integration processes into the data platform by building data pipelines and align with business representatives and business information needs.
- Review 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
- Obtain and integrate data and information from various sources into the firm's platforms, solutions and statistical models.
- Collaborate with Data Scientists to understand data requirements and create re-usable data assets to enable data scientists to build and deploy machine learning models faster.
- Write scripts and ingest raw data to build and maintain optimized data pipelines and ETL solutions as business support tools in providing analysis.
- Ensure data assets are organized and stored in an efficient way so that information is easy to access and retrieve.
- Obtain and integrate data and information from various sources into the firm's platforms, solutions and statistical models.
- Collaborate with Data Scientists to understand data requirements and create re-usable data assets to enable data scientists to build and deploy machine learning models faster.
- Write scripts and ingest raw data to build and maintain optimized data pipelines and ETL solutions as business support tools in providing analysis.
- Ensure data assets are organized and stored in an efficient way so that information is easy to access and retrieve.
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
- 5+ 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
- English proficiency requirements are pursuant to Techcombank's policy
- Experience in designing and building dimensional data models, ETL processes, applied data warehouse concepts and methodologies, optimized data pipelines and assisted the architect as needed
- Experience 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
- Experience working in Agile teams to support digital transformation projects, having a clear understanding of Agile principles, practices and Scrum methodologies
- Has some know-how and partial scripting and coding experience to set up, configure và maintain a machine learning model development environment
- Some experience architecting, coding and delivering high performance micro services and/or recommenders delivering recommendations to a large user-base
- Bachelor's or Master's degree in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering or Information Technology
Work Experience
- 5+ 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
- English proficiency requirements are pursuant to Techcombank's policy
- Experience in designing and building dimensional data models, ETL processes, applied data warehouse concepts and methodologies, optimized data pipelines and assisted the architect as needed
- Experience 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
- Experience working in Agile teams to support digital transformation projects, having a clear understanding of Agile principles, practices and Scrum methodologies
- Has some know-how and partial scripting and coding experience to set up, configure và maintain a machine learning model development environment
- Some experience architecting, coding and delivering high performance micro services and/or recommenders delivering recommendations to a large user-base
Nộp hồ sơ liên hệ
Ngân hàng Thương mại Cổ phần Kỹ Thương Việt Nam (Techcombank)
Giới thiệu công ty
Ngân hàng Thương mại Cổ phần Kỹ Thương Việt Nam (Techcombank) việc làm
Techcombank Tower, 191 Bà Triệu, Phường Lê Đại Hành, Quận Hai Bà Trưng, Hà Nội
Quy mô: Từ 1000 - 5000 nhân viên
Việc làm tương tự
Data Engineer - Lương Trên 23 Triệu
Công Ty Cổ Phần Nguồn Lực Việt 365
23 - 35 triệu
Hà Nội
20/05/2024
Data Engineer Junior - Senior Up to 2500
CÔNG TY CỔ PHẦN GIAO HÀNG TIẾT KIỆM - GHTK
Thỏa thuận
Hà Nội
14/07/2024
Vị trí data Engineer (40000064) do công ty Ngân hàng Thương mại Cổ phần Kỹ Thương Việt Nam (Techcombank) tuyển dụng tại Hà Nội, Joboko tự động tổng hợp mức lương Thỏa thuận, tìm thêm việc làm về Data Engineer (40000064) hoặc công ty Ngân hàng Thương mại Cổ phần Kỹ Thương Việt Nam (Techcombank) ở các link phía trên
Giới thiệu công ty
Ngân hàng Thương mại Cổ phần Kỹ Thương Việt Nam (Techcombank) việc làm
Techcombank Tower, 191 Bà Triệu, Phường Lê Đại Hành, Quận Hai Bà Trưng, Hà Nội
Quy mô: Từ 1000 - 5000 nhân viên