S&P Global Market Intelligence
Financial Services
SeniorEngineer,SoftwareEngineering(Python,SQL,AgenticAI,AWS,GCP)
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“Senior Engineer, Software Engineering (Python, SQL, Agentic AI, AWS, GCP) at S&P Global Market Intelligence. Skills: Python, SQL, AWS, GCP. Design data pipelines. Develop data pipelines”
What You'll Achieve.
Transform raw data into actionable insights; Ensure high system availability
Industry & Context.
Debug and resolve production issues
What They're Looking For.
Must Have
4 to 7 years of experience in software development, Proficiency in Python, Proficiency in SQL/T-SQL, Hands-on experience in building backend applications, APIs, and services, Knowledge of data structures, Knowledge of algorithms, Knowledge of object-oriented design principles, Proficiency in relational databases, SQL optimization, Understanding of modern agentic/LLM solution architectures, Experience with REST APIs, Experience with HTTP/HTTPS protocols, Experience with JSON/XML data formats, Hands-on experience with AWS services, Experience with Google Cloud services, Understanding of SDLC methodologies, Understanding of development best practices, Proficient in cloud technologies (AWS), Proficient in automation tools, Proficient in version control systems
Nice to Have
Experience with microservices architecture, Experience with distributed systems, Exposure to Big Data technologies, Exposure to modern data platforms, Experience with containerization, Knowledge of event-driven architectures, Knowledge of messaging systems, Familiarity with observability tools, Experience in cloud migration projects, Exposure to enterprise LLM platforms, Exposure to cloud-native GenAI services, Experience with Scala
What You'll Do.
Design data pipelines
Develop data pipelines
Maintain data pipelines
Design data platforms
Develop data platforms
Maintain data platforms
Build ETL/ELT workflows
Optimize ETL/ELT workflows
Build microservices architectures
Optimize microservices architectures
Participate in system design discussions
Participate in architecture reviews
Participate in technical decision-making
Ensure application performance
Ensure application scalability
Ensure application reliability
Debug production issues
Resolve production issues
How You'll Work.
Team & Collaboration
Participate in system design discussions; Participate in architecture reviews; Collaborate in close partnership with each other and our customers
Process & Methodology
Understanding of SDLC methodologies (Agile/Scrum)
Full Job Description
# **About the Role:** **Grade Level (for internal use):** 10 _**The Team:**_ Join a forward-thinking team at the forefront of data engineering within the S&P Global Market Intelligence Division. The team focuses on building scalable data platforms and advanced analytics systems that transform raw data into actionable insights using cutting-edge cloud technologies. _**Responsibilities and Impact:**_ * Design, develop, and maintain scalable data pipelines and data platforms across cloud environments using AWS and Google Cloud managed services. * Build and optimize ETL/ELT workflows using AWS Glue, AWS Step Functions, Amazon MWAA (Managed Workflows for Apache Airflow). * Build and optimize APIs (RESTful services) and microservices-based architectures. * Develop and optimize complex SQL queries for large-scale data processing. * Participate in system design discussions, architecture reviews, and technical decision-making. * Ensure application performance, scalability, and reliability in cloud environments (GCP/AWS). * Debug and resolve production issues, ensuring high system availability. **_What We’re Looking For:_** _**Basic Required Qualifications:**_ * 4 to 7 years of experience in software development. * Proficiency in Python and SQL/T-SQL for data processing, transformation, and automation. * Hands-on experience in building backend applications, APIs, and services. * Strong knowledge of data structures, algorithms, and object-oriented design principles. * Proficiency in relational databases (PostgreSQL, Oracle, SQL Server) and SQL optimization. * Understanding of modern agentic/LLM solution architectures (prompt lifecycle management, evaluation, governance, security). * Experience with REST APIs, HTTP/HTTPS protocols, JSON/XML data formats. * Hands-on experience with AWS services such as Amazon S3, Amazon EC2, Amazon EMR, AWS Lambda, Amazon Athena, AWS Glue, and AWS Step Functions. * Experience with Google Cloud services including BigQuery, Cloud Storage, Compute
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