Senior Engineer responsible for implementing AI components into web applications at S&P Global. Collaborating with teams to optimize AI services and improve business outcomes.
About the role
- Senior Backend Engineer developing analytical platforms in AI-native system for customer engagement. Transforming data into insights and boosting customer experience through scalable architecture.
Responsibilities
- Design and implement analytical platforms that provide insightful dashboards to customers.
- Develop and maintain data warehouse schemas, such as star schemas, fact tables, and dimensions, to support efficient querying and data access.
- Oversee data propagation processes from source databases to warehouse-specific databases/tools, ensuring data accuracy, reliability, and timeliness.
- Ensure the architectural design is extensible and scalable to adapt to future needs.
Requirements
- Qualification: B.E/B.Tech/M.E/M.Tech/PhD from tier 1 Engineering institutes with relevant work experience with a top technology company.
- 3+ years of Backend and Infrastructure Experience with a strong track record in development, architecture and design.
- Hands-on experience with large-scale databases, high-scale messaging systems and real-time Job Queues.
- Experience navigating and understanding large-scale systems and complex codebases and architectural patterns.
- Proven experience in building high-scale data platforms.
- Strong expertise in data warehouse schema design (star schema, fact tables, dimensions). Experience with data movement, transformation, and integration tools for data propagation across systems.
- Ability to evaluate and implement best practices in data architecture for scalable solutions.
- Nice to have: experience with Google Cloud, Django, Postgres, Celery, and Redis.
- Some experience with AI Infrastructure and Operations.
Job title
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