岗位描述
Pod Lead Delegate / delivery leadership: drive day-to-day execution, run ceremonies where needed, manage RAID, and keep scope-plan-outcomes aligned. Own end-to-end delivery across SDLC: design, build, test, release, hypercare, and continuous improvement. Build scalable ELT on BigQuery + dbt: modelling, incremental patterns, optimisation, and cost/performance tuning. Develop and review Python for data processing, automation, validation, and operational tooling (production-quality code). Enable BI outcomes using Apache Superset: support dataset modelling for analytics use, define governed metrics where applicable, and ensure dashboards are performant, trusted, and maintainable. Implement strong data quality and reconciliation controls: rule-based checks, anomaly detection patterns, and clear remediation workflows. Embed NFRs and controls by design: security, access, auditability, lineage, monitoring/alerting, resilience, and operational readiness (runbooks). Drive engineering excellence: code reviews, reusable dbt macros/patterns, standards for testing (dbt tests + Python), and release discipline. Leverage GenAI-enabled delivery responsibly: improve documentation quality, accelerate analysis and test creation, and streamline incident triage—while ensuring human review, data confidentiality, and secure usage. Partner with Architecture/Platform/Security/Controls to align with enterprise standards and governance. People leadership: hiring, onboarding, objectives, coaching, performance management, and career development in an inclusive way. Communicate clearly in English (and collaborate effectively with local stakeholders; Cantonese preferred): design docs, decision papers, status updates, and stakeholder comms. Lead end-to-end ETL delivery: requirements, design, build, test, release and production support Strong RDBMS/SQL capability: complex SQL, data analysis, performance tuning and troubleshooting Hands-on Python for data processing and automation (clean, maintainable, production-ready code) Experience enabling analytics/BI delivery, ideally with Apache Superset (dashboards, datasets, performance tuning, stakeholder iteration). Confident in Linux & Shell scripting for job automation, scheduling and incident diagnosis Demonstrated technical ownership: able to work independently, drive decisions and manage delivery risks Proven people leadership: plan work, delegate effectively, coach team members and manage performance