We have a current opportunity for Data full stack lead for a reputable international banking group. The position will be based in Guangzhou. For further information about this position please apply.

1. Full stack data engineering includes all SDLC lifecycle and adopt DevOps & Agile best practices to build, manage and support data platform and applications
2. Candidate(s) are expected to work effectively to collaborate with internal clients and other development teams across borders, work effectively under pressure
3. Develop, manage and support data applications and governance on GCP
4. Develop, manage and support in-house built AI/ML applications on GCP
5. Coordinate work to ensure successful project delivery with good quality
6. Candidate(s) would be required to work stream(s) independently in a reasonable timeframe in case of project need.
7. Follow IT engineering standards and practices; and proposal improvement suggestion on project deliveries.
8. Create and maintain technical documentation using defined technical documentation templates

• Role key requirements and nice to have skill

1. Strong understanding and project experience in designing, development, optimization and management of data systems based on any of Data Warehouse/Data Lake/Lake House/Data Mesh
2. Strong understanding and project experiences on standard NLP and search engine using Pytorch, Rasa, OpenSearch or their alternatives and Good understanding and experiences on building ML pipelines; understandings and experiences about LLM and related toolchains or frameworks such as langchain is a plus
3. Good understanding and project experiences of developing or using tools/frameworks/platforms to support data governance, such as Atlas, Openmetadata, Collibra, BigID or equivalent
4. Good understanding and project experience in backend development in Python using FastAPI or alternatives
5. Good understanding and project experiences of GCP tech stack including BigQuery, GCE and CloudSQL PostgreSQL; understanding and experiences about Pub/Sub, GKE and CloudRun is a plus; Alternatives are AWS, Azure and Alicloud.
6. Understand DevOps and Agile practices, having experiences of using CI/CD solutions using Jenkins, Ansible, Terraform etc.