Job Description
Knowledge & Skills:
Understanding and experience with Google Cloud architecture
In-depth knowledge of database and data warehouse technologies & concepts
from Google (., Big Query, Cloud SQL, Spanner, Big Table)
Experience in enterprise scale Data modelling/Data warehouse
modernization/Cloud based data lakes
Build the infrastructure required for optimal extraction, transformation, and
loading of data from a wide variety of data sources using SQL and Google cloud big
data’ technologies.
Building Data pipelines with Data proc Cluster, Data Flow, Pub sub, Cloud
Composer (Airflow), Cloud functions etc.
Fluency in object-oriented languages, preferably Python.
Strong understanding of distributed systems architecture.
Data quality process experience including data cleansing, audits and alerts, triage
mechanisms & processes, and referential integrity.
...
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