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AI Data Engineer

  • Source: Naukri
  • S&P Global Market Intelligence
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

Job Summary

As part of the Collection Platforms AI team you will work on building AI powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for SP Global and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a global team and encouraged for thoughtful risk-taking and self-initiative.

The Impact: The Collection Platforms AI team has already delivered breakthrough products and significant business value over the last 5 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems.

Nice to have: LLMs and prompt engineering; Experience building agentic solutions

Responsibilities

  • Modernize and enhance core enterprise systems, migrate platforms and workloads, and consolidate tools/technology stacks to improve reliability, security, scalability, and cost-efficiency
  • Build production-ready data acquisition and transformation pipelines from ideation to deployment
  • Be a hands-on problem solver and developer helping to extend and manage data platforms
  • Contribute in the architecture design and development of end-to-end data ingestion and processing pipelines to support downstream workflows
  • Define best practices for data modeling, performance optimization, and governance

Requirements

  • Hands-on experience in development of complex software systems applications - 5+ years
  • Proficiency in Python and SQL
  • Expertise in Snowflake architecture and large-scale migration projects
  • Strong understanding of performance tuning, security, and cost optimization
  • Experience integrating Snowflake with BI tools

Qualifications

  • Bachelor’s/Master’s (preferred) degree or equivalent experience in Computer Science, Data Science, Statistics, or other quantitative disciplines
  • LLMs and prompt engineering
  • Experience building agentic solutions

Skills

  • Python
  • Snowflake
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