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.
B. 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.
C. 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.
D. Talent Development
Mentor and coach junior members from one or more team to enhance their data engineering capabilities.
Identify and encourage areas for growth and improvement within the team or teams and support with personal development plan.
Bachelor's or Master’s degree in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering or Information Technology
12 to 15 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 5+ 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 & 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
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Head Office,14th Floor, Techcombank Tower, 191 Ba Trieu Street, Hai Ba Trung District, Hanoi, Vietnam
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