SSE/TC-Google Cloud Platform

Technical Requirements.
Have Implemented and Architected solutions on Google Cloud Platform using the components of GCP.
Experience with Apache Beam/Google Dataflow/Apache Spark in creating end to end data pipelines.
Experience in some of the following: Python, c Spark, SQL, Big Query, Big Table Cloud Storage, Datastore, Spanner, Cloud SQL, Machine Learning.
Experience programming in Java, Python, etc Expertise in at least two of these technologies: Relational Databases, Analytical Databases, NoSQL databases.
Certified in Google Professional Data Engineer/ Solution Architect is a major Advantage.
Experience.
Roles & Responsibilities.
Candidates must have expertise knowledge of Google Cloud Platform; the other cloud platforms are nice to have.
Expert knowledge in SQL development.
Expertise in building data integration and preparation tools using cloud technologies (like Snaplogic, Google Dataflow, Cloud Dataprep, Python, etc).
Experience with Apache Beam/Google Dataflow/Apache Spark in creating end to end data pipelines.
Experience in some of the following: Python, Hadoop, Spark, SQL, Big Query, Big Table Cloud Storage, Datastore, Spanner, Cloud SQL, Machine Learning.
Experience programming in Java, Python, etc Identify downstream implications of data loads/migration (e g, data quality, regulatory, etc).
Implement data pipelines to automate the ingestion, transformation, and augmentation of data sources, and provide best practices for pipeline operations.
Capability to work in a rapidly changing business environment and to enable simplified user access to massive data by building scalable data solutions.
Advanced SQL writing and experience in data mining (SQL, ETL, data warehouse, etc) and using databases in a business environment with complex datasets.
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