JD:Data engieerWork as the goto person inside Data & Analytics organization in HSBC Wealth & Personal Banking for Business Visualization on Looker and any banking data request from Data Science team and senior business stakeholders.Work as DataOps transformation to enable selfserve highperforming data ETL.Handson development for data ETL pipeline data quality check and be responsible for peer coding review.Participate in regular standsup to share and speakup the progress and key blocker to ensure project is going smoothSkills & Qualifications:56 years of datarelated working experience in Financial Institute with special preference in banking.High proficiency in SQL Python PostgreSQL and Cloud native data pipeline automation tooling e.g. BigQueryExperience in Business visualization tool Looker including LookMLKnowledge of SAS coding will be an advantagesProven working experience in delivering large scale data projects/data products.Project experience in designing & developing highperformance solution for handling extremely large volume data processing storage and wrangling in realtime manner.Good understanding of DevOps DataOps or MLOps.Cloudnative data ETL development in GCP is preferred Technology stack provisioned in the team include: DataProc Python on Google CloudAirflow DAG for schedulingMultiple databases including PostgreSQL BigQuery graph databases etc.