Ind - Senior Staff Engineer, Reliability

Hartford Fire Insurance

**
10+ years infrastructure or data experience
Expertise in snowflake and aws/gcp
Hands-on informatica, python, pyspark
** Hartford Fire Insurance is seeking a Senior Staff Engineer in Reliability to enhance data quality, observability, and pipeline resiliency within their data operations. The ideal candidate should have over a decade of experience in data engineering and infrastructure, with a strong focus on data reliability and automation. **

Job Summary

  • The role focuses on establishing Data Service Level Objectives to ensure freshness, completeness, and accuracy across critical data products.
  • Candidates will implement advanced data observability tools to monitor the entire data journey from ingestion to consumption in real-time.
  • The position requires leading incident response for data-related issues and automating sophisticated runbooks for pipeline failures.

Matching Summary

Match Score: 75

** Hartford Fire Insurance is seeking a Senior Staff Engineer in Reliability to enhance data quality, observability, and pipeline resiliency within their data operations. The ideal candidate should have over a decade of experience in data engineering and infrastructure, with a strong focus on data reliability and automation. **

Skills & Requirements

Must-have

  • 10+ years infrastructure or data experience
  • Expertise in Snowflake and AWS/GCP
  • Hands-on Informatica, Python, PySpark
  • Experience with Amazon EMR and Hadoop
  • Data observability tools implementation
  • Apache Airflow workflow management

Nice-to-have

  • AIOps and machine learning for anomaly detection
  • Prompt engineering and AI service integration
  • Cloud native services expertise
  • Data governance standards design
  • Blameless post-mortem leadership

Key Requirements

  • 10+ years overall technology experience
  • 4-5+ years in Data Engineering or SRE roles
  • Expert level hands-on cloud engineering skills

Work Rights

Not specified

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