GCP Data ArchitectData Engineer

Responsibilities:

Design appropriate data models for the use in transactional and big data environments as an input into Machine Learning processing.
Design and Build the necessary infrastructure for optimal ETL from a variety of data sources to be used on GCP services.
Develop data and semantic interoperability specifications.
Collaborate with the business to scope requirements.
Collaborate with several external vendors to support data acquisition.
Analyse existing systems to identify appropriate data sources.

Skills:

Experience with serverless data warehousing concepts on Google Cloud is highly desired.
Experience with DWBI modelling framework is highly regarded.
Extensive experience working with SQL across a variety of databases.
Experience working with both structured and unstructured data sources using cloud analytics (Cloudera Hadoop etc.).
Experience with Data Mapping and Modelling.
Experience with Data Analytics tools.