Sse/tc-google Cloud Platform
2 days ago
**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
**Roles & Responsibilities**
**Experience**
- 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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