Senior Manager, Data Engineering

AIG Europe Ltd

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Building metadata-driven etl frameworks
Proficiency in pyspark and informatica iics
Cloud-native data architecture with snowflake and aws
** AIG Europe Ltd is seeking a Senior Manager of Data Engineering to design and implement scalable data infrastructure and pipelines for advanced analytics. The role focuses on collaboration across functions, data integration, and maintaining high data quality while promoting engineering best practices. **

Job Summary

  • The role involves designing and implementing scalable data infrastructure to support advanced analytics and enterprise solutions within the insurance sector.
  • Candidates will leverage GenAI and Code Whisperer to automate code conversion from legacy systems to modern data stacks while ensuring high-quality production environments.
  • AIG offers a comprehensive Total Rewards Program focused on health, wellbeing, financial security, and professional development for its global team members.

Matching Summary

Match Score: 75

** AIG Europe Ltd is seeking a Senior Manager of Data Engineering to design and implement scalable data infrastructure and pipelines for advanced analytics. The role focuses on collaboration across functions, data integration, and maintaining high data quality while promoting engineering best practices. **

Skills & Requirements

Must-have

  • Building metadata-driven ETL frameworks
  • Proficiency in PySpark and Informatica IICS
  • Cloud-native data architecture with Snowflake and AWS
  • Application of Gen AI and Code Whisperer
  • Experience with structured and unstructured data

Nice-to-have

  • Collaboration with cross-functional stakeholders
  • Knowledge of actuarial pricing and rate monitoring
  • Familiarity with MLOps and AI/ML advancements
  • Strong communication skills for translating business needs
  • Experience with agile best practices and SDLC

Key Requirements

  • Master's degree plus 2 years experience OR Bachelor's plus 5 years experience
  • Experience building metadata-driven ETL frameworks
  • Proficiency with PySpark, Informatica IICS, Snowflake, and AWS
  • Application of Gen AI and Code Whisperer for automation
  • Primary in-office collaboration required

Work Rights

Not specified

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