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GOCal is seeking a Senior Software Engineer to design and maintain scalable data platforms and analytics solutions using AWS and Google Cloud. The ideal candidate will have extensive experience in cloud-based data technologies, modern BI tools, and software engineering best practices.
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Job Summary
Design, develop, and maintain scalable data pipelines and data platforms across cloud environments using AWS and Google Cloud managed services.
Write high-quality, maintainable code using Python and SQL/T-SQL, applying software engineering best practices (testing, code reviews, design patterns, performance tuning).
We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
Matching Summary
Match Score: 75
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GOCal is seeking a Senior Software Engineer to design and maintain scalable data platforms and analytics solutions using AWS and Google Cloud. The ideal candidate will have extensive experience in cloud-based data technologies, modern BI tools, and software engineering best practices.
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Skills & Requirements
Must-have
AWS and Google Cloud ecosystems
modern data pipelines
cloud-based analytics solutions
Python and SQL/T-SQL
Databricks on AWS/GCP
Google BigQuery
Microsoft Fabric
Amazon DynamoDB
Amazon Aurora
Amazon RDS for SQL Server
Google Cloud SQL
Azure SQL
Microsoft Power BI
Tableau
Amazon QuickSight
Databricks Unity Catalog
AWS CloudWatch
Google Cloud Operations Suite
Microsoft Purview
GitHub for version control
Terraform for infrastructure provisioning
Nice-to-have
enterprise LLM platforms
cloud-native GenAI services
modern agentic/LLM solution architectures
Microsoft Fabric ecosystem
enterprise governance alignment
Key Requirements
6-10 yrs strong experience with Databricks
Hands-on experience with AWS services
Experience with Google Cloud services
Proficiency in Python and SQL/T-SQL
Strong knowledge of cloud-managed relational and NoSQL databases
Familiarity with modern BI and analytics tools
Experience with modern data interchange/serialization formats