Key Responsibilities
Strong data background (data storage, transformation, event processing, APIs, IAM, security).
Proven hands-on experience of solutioning , engineering and operationalization of modern data warehouses, data lakes and analytics platforms on GCP preferably in Banking or financial services domain.
Experience in delivering solutions using Big query, Google data flow, Google pub sub, google cloud SQL, google compute engine, big table.
Well versed with various data modelling techniques and principles.
Knowledge of Data governance, data quality, data privacy and security aspects, devops and finOps required.
Beneficial to have knowledge/experience of analytics solutions (ML/AI & BI) - note though that this is not a Data Scientist role
Ability to articulate and present solutions at the right level for a wide audience.
Bachelor in technology or equivalent.
Google Cloud Data Engineer Certification or Active Google Professional Cloud Architect Certification preferred.
Any Graduate