Data Engineering Senior Associate

AIG

Jersey City, NJ, US
Base: $96,000-$120,000; bonus: eligible for incent...
Primarily in-office
5 years of data engineering experience
Proficiency in snowflake and advanced sql
Experience with oracle and python etl processes
AIG is seeking a Data Engineering Senior Associate with at least five years of experience in building data solutions. The role involves collaboration across teams to develop and maintain data pipelines, with a focus on ensuring data quality and supporting data-driven decision-making

Job Summary

  • The role involves building robust data solutions and collaborating with project teams on multiple ongoing activities.
  • Candidates will develop and maintain data pipelines across diverse environments including Snowflake, Oracle Exadata, and SSIS.
  • AIG offers a comprehensive Total Rewards Program focused on health, wellbeing, financial security, and professional development.

Matching Summary

Match Score: 85

AIG is seeking a Data Engineering Senior Associate with at least five years of experience in building data solutions. The role involves collaboration across teams to develop and maintain data pipelines, with a focus on ensuring data quality and supporting data-driven decision-making.

Salary

Base: $96,000-$120,000; Bonus: Eligible for incentive plan bonus; Benefits: Comprehensive Total Rewards Program included

Skills & Requirements

Must-have

  • 5 years of data engineering experience
  • Proficiency in Snowflake and advanced SQL
  • Experience with Oracle and Python ETL processes
  • Ability to design and deploy data solutions
  • Strong data analysis and quality assessment skills

Nice-to-have

  • Cloud technology experience with AWS
  • Familiarity with SSIS and other data environments
  • Working knowledge of Tableau or Power BI
  • Experience in an agile development environment
  • Insurance or financial services domain knowledge

Key Requirements

  • 5 years of experience in building robust data solutions
  • Proficiency in Snowflake and advanced SQL
  • Experience with Oracle and Python ETL processes
  • Understanding of data governance, security, and quality management principles

Work Rights

Not specified

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