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Google Data Engineering~PL/SQL

Diverse Lynx India
Location not stated
1 month ago
  • PL/SQL
  • SQL
  • ETL
  • GCP
  • Dataflow
  • Data Visualization
  • Visual Studio
  • Python
  • AI
  • BigQuery
  • Cloud SQL
  • AWS
  • Azure
  • PostgreSQL
  • Oracle
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Hiring For Google Data Engineering~PL/SQL- Pan India

Good technical documentation skills
Develop SQL scripts, ETL tools
GCP, Big Query, SQL, Dataflow etc.
Data visualization products to business & management
Develop Data strategies, BI strategies
Hands-on experience in implementing data pipelines that move data from source systems/databases to target datastores/databases
Deep understanding of migrating databases using various methodologies, leveraging distributed data processing frameworks, including modern analytical and transactional data stores.
Data Visualization (Data & Analytics):
• Design develop data warehouse tables in PLX and Biquery using Cider UI/agent(Visual Studio code +Copilot).
• Design and develop pipelines using an in house python-based ETL configurator and Google wide Borg service as scheduler
• Troubleshoot data issue by investigating calculation logic and sources in dashboard and tracing back to data warehouse tables
• Design and develop GEN AI solution that integrate with data warehouse or dashboards to provide proactive insights
• Knowledge on data warehouse infra management using python to create utilities
• Data specific Hands-on experience in at least one GCP Data Services like BigQuery, Cloud SQL, Dataflow etc.
• Hands-on experience in implementing data pipelines that move data from source systems/databases to target datastores/databases
• Professional cloud certification with any CSP including AWS, GCP or Azure.
• "Expert in Databases CloudSQL, AlloyDB, Spanner etc.
Design and implement data migration strategies for various database types (PostgreSQL, Oracle, Alloy DB etc.)
• Deep understanding of at least 1 Database type with ability to write complex SQLs
• Deep understanding of migrating databases using various methodologies, leveraging distributed data processing frameworks, including modern analytical and transactional data stores.

Google Data Engineering~PL/SQL · Diverse Lynx India

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