Consultant Specialist

GCIO · Guangzhou, Guangdong We are currently seeking an experienced professional to join our team in the role of Consultant Specialist. As a Consultant Specialist, you will be part of a pod of Data Engineers that supports multiple GCP development projects. Principal responsibilities include: Collaborating with GCP delivery teams to challenge and refine solution designs, ensuring DevOps best practices are followed. Playing a key role in the delivery of a large-scale IT project, preferably delivered following an Agile approach. Translating business requirements into solid, robust technical designs that can withstand scrutiny by various teams involved in governance processes. Designing solutions that are readily maintainable, easy to extend, and allow for future requirements to be easily implemented. Implementing large cloud implementations/migrations, preferably on GCP. Working with cloud architecture solutions that maximise the use of PaaS offerings. Understanding the concept of immutable infrastructure and ideally having experience on at least one project. Understanding 'infrastructure-as-code' and 'configuration-as-code'. Developing data pipelines/APIs using Python, SQL, BigQuery, Cloud SQL, Bigtable, etc. Building large-scale batch and real-time data pipelines with data processing frameworks in GCP. Using Terraform to design reusable code and write custom Terraform modules. Writing Jenkins pipelines and developing jobs that can be reused across delivery teams. Managing cloud infrastructure environments, including admin, users, IAM, and service accounts. Working in a test-driven development (TDD) approach. Understanding effective secrets management. Requirements include: Commercial orientation, customer drive, business development, analytical reasoning, management planning, decisiveness, leadership, teamwork, building and managing relationships, communication, drive and resilience, change orientation, technical knowledge, etc. Skilled at generating actionable insights from data. Developing, iterating, and productionising complex data models. Fluency in English. Useful skills and knowledge include: Scala, Spark, Elastic Search, Google Cloud Platform – DataProc, BigQuery, IAM, K8s. Experience with any SNA system, such as SAS Fraud Framework, Palantir, Wynyard, Detica Netreveal, digital reasoning, Novetta. Java, Python, AI, JavaScript. Financial crime detection or other related bank business knowledge.