KINH DOANH F88

• Building a Cloud sourcing system that pulls data from tens of thousands tables on-premises, and hundreds of data source systems (RDBMS, file server, Kafka,...) Designing change data capture method for each source system
• Designing and implementing a Big Data management system by leveraging Lambda/Delta/Kappa Architecture concept
• Implementing data replication/projection lag from Techcombank on-premises to Techcombank Data lake on Cloud in real-time processing or batch model with high performance - scalable AWS services like Kinesis, Firehose, Glue (Spark), Lambda,...
• Serving analytics data of ten million Techcombank customers to other Techcombank internal teams, providing hundreds of millions of data elements daily through high throughput, low latency protocols (WebSocket, message queue, REST, GraphQL,...)
• Collaborating with the Data Architect team on regular basis to design/review data models, and application architectures
• Maintaining software clean architecture, clean code, and high quality. Participating in code reviews, pair programming, mob programming, and coaching other members
• Providing data features infrastructure to empower ML engineering in various bank businesses
• Guiding new members, interfacing with business to understand needs, and providing valuable feedback
• Managing scrum team and working with upper managers to address business problems

Must have:

• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related technical field
• English proficiency requirements are pursuant to Techcombank's policy (550+ Toeic)
• Have 5+ years of working experience including at least 2 years of direct people management experience (with 5+ direct reports)
• Extremely proficient in at least 1 programming language (Java, Scala, Python)
• Demonstrable experience as a system owner with operational responsibility
• Strong experience in systems architecture - particularly in complex, scalable, and fault-tolerant distributed systems
• Good at multi-threading, atomic operations, computation framework: Spark (Dataframe, SQL, ...), distributed storage, distributed computing
• Understand designs of resilience, fault-tolerance, high availability, and high scalability, ...
• Tools: CI/CD, Gitlab, ...
• Good at communication & team working
• Being open-minded, willing to learn new things
• Practices data-driven decision making
• Bonus points:
• Cloud experience (AWS, GCP, etc), AWS is a plus
• Experience in performance tuning/optimizing Big Data programs
• Having knowledge of distributed query engines: Presto, Hive, ...

• Competitive salary; Two-month probationary period with 100% salary, including basic insurance payment
• 13 months salary/year and with a performance bonus
• Working hours are flexible
• Agile environment, dynamic and international standards
• Working Location: Hanoi, Vietnam
• If you are interested in this position, please do not hesitate to send your CV via email
• Participate in many annual activities such as Team building, Active Saturday, Year-end party, ...
• Join Techcombank Care with Bao Viet insurance package
• Participating in the preferential loan program for employees
• Have the opportunity to work directly with foreign experts, use frequently English
• Have a clear career development path in the direction of Expert or in the direction of Manager

• Competitive salary; Two-month probationary period with 100% salary, including basic insurance payment
• 13 months salary/year and with a performance bonus
• Working hours are flexible
• Agile environment, dynamic and international standards
• Working Location: Hanoi, Vietnam
• If you are interested in this position, please do not hesitate to send your CV via email
• Participate in many annual activities such as Team building, Active Saturday, Year-end party, ...
• Join Techcombank Care with Bao Viet insurance package
• Participating in the preferential loan program for employees
• Have the opportunity to work directly with foreign experts, use frequently English
• Have a clear career development path in the direction of Expert or in the direction of Manager