Data Engineering

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

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related technical field

Have 6+ years of experience as a Data Engineer or Software Engineer

Extremely proficient in at least 1 programming language (Java, Scala, Python)

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

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, ...

13 months salary/year and with a performance bonus

Working hours are flexible, employees can choose shifts from 07:30 a.m - 09:00a.m to 04:30 p.m - 06:00 p.m

Agile environment, dynamic and international standards

Participate in many annual activities such as Team building, Active Saturday off, Year-end party, ...

Join Techcombank Care with the Bao Viet insurance package

Participate 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 a Senior Expert or in the direction of a Manager

Cập nhật gần nhất lúc: 2023-02-12 21:35:05