Data Engineering Manager (Python, Scala)

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