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Python, Panda/Consultant Specialist

5 days ago 2025/08/01
Other Business Support Services
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Job Description

Some careers shine brighter than others.


If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.


HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.


We are currently seeking an experienced professional to join our team in the role of Consultant Specialist


  • Help in design and build of model execution platform (MEP & MEX) on GCP (Google Cloud Platform) and Internal Kubernetes platform within the HSBC 
  • Work with the HSBC Solution architect and product owner to build series of micro services that will form the model execution platform 
  • Work with the MEP DevOps team to specify requirements for continuous integration pipeline and deployment to various environments 
  • Be required to have good knowledge of GCP products especially big query, GKE, cloud storage, compute engine, cloud SQL 
  • Use Python and similar technologies to reduce lead time to delivery and ensure deliverables align to overall Group strategic direction so that cross-functional development is usable 
  • Work independently on specialised assignments within the context of project deliverables 
  • Required to set and apply high expectations with respect to quality, use of requirement management systems and document standards.   
  • Required to manage a robust change control process to ensure change requests or changes in scope are identified and controlled 
  • Adopt Flask/Fast APIs to make these python code as “Model as a Service”
  • Airflow Deployments: Develop DAGs to schedule python codes in appropriate tasks
  • Involve in quality assurance process like code reviews, test automation
  • Debug production issues to isolate root causes and work through permanent resolution to ensure production stability
  • Participate in the system integration activities with other interfacing teams and make sure the solution complies with group architecture policies and standards
  • Advocate and advance modern software development practices within the engineering community. Helping with designing, maintaining, and improving all aspects of the software delivery lifecycle

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