GCP Data Architect

Job description:

Must have experience and proficiency in all aspects of data management data analytics solution design implementation.

Data Architect / SME with strong Hands on Python PySpark Platform background.

Ability to design Python PySpark logging troubleshooting observability resilience pipeline instrumentation testing frameworks.

Lead Data Engineering team to speed up product delivery.

Must be hands on in Data Engineering.

Must be experienced in either AWS or Azure Data Analytics Visualization stack If the candidate is experienced in AWS then expected to be proficient in Azure and vice versa.

Define testing strategy and reusable components.

Proficiency in Asset management Asset servicing business domain is a plus.

Mandatory Skills: GCP Data Architecture, MDM Conceptual, Data Architecture, Data Lake house Architecture, Dimensional Data Modelling.

Skills

Mandatory Skills: Data Management, Data Analytics, Solution design implementation, GCP Data Architecture, MDM Conceptual, Data Architecture, Data lake house Architecture, Dimensional Data Modelling, Python, PySpark, AWS/Azure, Azure Data Analytics Visualization, Asset management / Asset servicing business domain