Not specified; not specified; competitive pyy with...
Not specified (assumed hybrid based on industry standards)
6-10 years experience with databricks
Hands-on aws services including glue and step functions
Experience with google cloud bigquery and data fusion
S&P Global Market Intelligence is seeking a Senior Software Engineer with extensive experience in building scalable data platforms and cloud-based analytics solutions, particularly in AWS and Google Cloud environments. The ideal candidate will be proficient in Python, SQL, and modern BI tools, and will collaborate with stakeholders to enhance analytics and decision-making processes
Job Summary
The role involves designing and maintaining scalable data pipelines across AWS and Google Cloud ecosystems using managed services like AWS Glue and Google Data Fusion.
Candidates will collaborate with stakeholders to enable analytics and reporting while ensuring data quality, governance, and observability through tools like Unity Catalog and Purview.
S&P Global Market Intelligence offers comprehensive benefits including health coverage, flexible downtime, continuous learning resources, and family-friendly perks.
Matching Summary
Match Score: 85
S&P Global Market Intelligence is seeking a Senior Software Engineer with extensive experience in building scalable data platforms and cloud-based analytics solutions, particularly in AWS and Google Cloud environments. The ideal candidate will be proficient in Python, SQL, and modern BI tools, and will collaborate with stakeholders to enhance analytics and decision-making processes.
Salary
Not specified; Not specified; Competitive pay with retirement planning and student loan contribution
Skills & Requirements
Must-have
6-10 years experience with Databricks
Hands-on AWS services including Glue and Step Functions
Experience with Google Cloud BigQuery and Data Fusion
Proficiency in Python and SQL/T-SQL
Knowledge of Parquet and Protocol Buffers formats
Experience with Terraform for infrastructure provisioning
Nice-to-have
Experience with Google Dataform transformation workflows
Exposure to enterprise LLM platforms and GenAI services
Understanding of modern agentic LLM solution architectures
Experience with Microsoft Fabric ecosystem governance
Strong operational rigor with SLAs/SLOs and cost optimization
Key Requirements
6-10 years strong experience with Databricks
US Candidates Only requirement
Strong software engineering best practices background