AI Data Engineering Lead
Moody's Analytics · Bengaluru · onsite · Posted 40d ago
Undisclosed4–9 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
- Design and implement large-scale data pipelines using AI and machine learning techniques.
- Lead cross-functional teams to develop and deploy data engineering solutions.
- Collaborate with stakeholders to identify business needs and develop solutions.
- Develop and maintain complex data architectures and systems.
- Ensure data quality and integrity through data validation and testing procedures.
- Stay updated with industry trends and emerging technologies in AI and data engineering.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
data qualitydata architectureEmerging TechnologiesData EngineeringCommunication SkillsArchitectureData ValidationSystem DesignData PipelineArtificial IntelligenceMachine Learning
About Moody's Analytics

Moody's Analytics
Analytics & KPO
761
employees
2007
19 years old
New York, New York
United States (USA)
₹17.5L PA avg
Avg at Moody's Analytics
About
Moody's Analytics provides financial intelligence and analytical tools supporting our client's growth, efficiency and risk management objectives.
Industries
Analytics & KPOFinancial Services
Employee ratings
10 reviews
4.0/ 5
Culture
3.6
Career growth
3.2
Work-life
3.5
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