GCP Data Engineer-Bigquery-Postgre

JD:Data engieer

Work as the go-to 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 self-serve, high-performing data ETL.

Hands-on development for data ETL pipeline, data quality check and be responsible for peer coding review.

Participate in regular stands-up to share and speak-up the progress and key blocker to ensure project is going smooth

Skills & Qualifications

5-6 years of data-related 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. BigQuery

Experience in Business visualization tool Looker, including LookML

Knowledge of SAS coding will be an advantages

Proven working experience in delivering large scale data projects/data products.

Project experience in designing & developing high-performance solution for handling extremely large volume data processing, storage and wrangling in real-time manner.

Good understanding of DevOps, DataOps or MLOps.

Cloud-native data ETL development in GCP is preferred

Technology Stack Provisioned In The Team Include

DataProc + Python on Google Cloud

Airflow DAG for scheduling

Multiple databases including PostgreSQL, BigQuery, graph databases, etc.

HSBC Wealth & Personal Banking