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They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right.
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O Database optimization (SQL / noSQL, postgres, mysql, mongo, cockroach, dynamodb, could include full search tools: elastic, algolia, or vector DBs etc.) o Big data tooling (BigQuery/snowflake/redshift/athena/presto/trino, structures like parquet/iceburg etc.
$200,000 - $300,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience working in the weeds with data using tools such as Microsoft Excel, Google Analytics, Looker/Looker Studio, Tableau, Google Cloud Projects/Big Query, Google Search Console, SQL, and/or other common reporting platforms.
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Knowledge in probability, statistical analysis and reliability engineering Ability to research and analyze information of considerable complexity and draw valid conclusions Experience with software tools (SAP, Business Objects, R, Python, SQL and Excel in a big data environment, etc.
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And services offered by AWS (S3, EKS, RDS, elastic search, etc.) Guidewire experience is big plus. Hand on experience with common architecture patterns (microservices, event-driven, REST, NO SQL databases, Caches, etc.
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Experience with any of the following: Data Architecture, Elastic Search, DBT, Airflow, Palantir Foundry, Data Quality tools, Collibra, MDM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite, Tableau, SAS Enterprise Miner, and other database and BI technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc.
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Experience with analytics and data management principles such as: data acquisition and modeling, data warehousing, business intelligence, metadata management, master data management, advanced analytics and data science, "big data" techniques, public/hybrid/private cloud data management and analytics services data security, and data and analytics governance.
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Experience with analytics and data management principles such as: data acquisition and modeling, data warehousing, business intelligence, metadata management, master data management, advanced analytics and data science, “big data” techniques.
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Familiarity with at least two or more of: Scaled Agile, Scrum development methodology, DevOps/DevSecOps, LEAN, Six Sigma or ITIL practices. Experience with UX research, design thinking (DT), or in bringing products to market.
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Skills Required: Java, Angular, GCP, SQL, Elastic, Spring Boot, Cloud Run, APIGEE Skills Preferred: Big Table, Big Query, GitHub, Test Automation, Rally, Agile Experience Required: 8 to 10 years Experience Preferred: 0 Education Required: Bachelor's degree Education Preferred: Additional Information: Onsite Role Full stack back end java Testing Required.
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Come join First American's Digital Title Group, newly formed to re-imagine and digitize the title search and examination process through Big Data, AI, document automation and modern, cloud-native application development.
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Configure, maintain and support production databases using industry standard RDBMS (PostgreSQL, Microsoft SQL Server) and Amazon AWS offerings (RDS, DynamoDB, Redshift) This is a great opportunity to work full stack from geospatial visualization UIs, down through the big data services used to detect real-world anomalies.
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Data Analysis and Predictive Modeling: Perform statistical data analysis. The Principal Solution Architect fills a critical role in PG&E’s success building the Digital Utility. Utilize data insights for capacity planning, demand forecasting, and identifying performance bottlenecks.
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The Principal Solution Architect fills a critical role in the client's success building the Digital Utility. The Principal Solution Architect will contribute to the Enterprise Data & Analytics Strategy and Roadmap and will develop innovative, cost-effective approaches to solve business problems through the use of technology and best practices.
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Working knowledge of SQL, Python, Elastic Search, Kafka, data pipeline, Jira Query Language (JQL) and Confluence. This position will be responsible for owning and driving projects in the US Big Data organization and will work closely with the Data Engineering & Business Intelligence functions as well as global stakeholders such as internal product teams, legal, security and AI organizations.
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