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We are looking for a Data Reliability/Operations Engineer who will contribute significantly to data capabilities by independently managing data quality monitoring and incident response and troubleshooting. This role is essential for maintaining data quality and insights that drive business forward. You may have opportunities to mentor junior team members and contribute to the mission of delivering outstanding value through data-driven insights and innovative solutions. If you are a data reliability builder who is interested in AI readiness and driving excellence in data trust for making solid business decisions, this is the role for you!!
- Experience working in a data reliability engineering role is required
- Must be proficient in AWS (or Azure/GCP), Snowflake, RDS, SQL, Python, Terraform, Airflow/Dagster, Data pipelines, and data monitoring tools
- Experience with ML Ops is higher desired or some type of AI experience
- Experience with building data pipelines, data stores, and working with data analytics is required
- Must be able to implement comprehensive monitoring and alerting for data pipelines that support operations and analytics
- Must be able to design and deploy automated data quality checks that ensure accuracy of data
- Must be able to respond to and resolve data incidents, conducting root cause analysis and implementing preventive measures
- Collaborate with data engineers to improve pipeline reliability, performance, and operational efficiency
- Participate in on-call rotation and maintain high availability of critical data systems
- Experience mentoring more junior team members is ideal
- Must be able to deliver value through data-driven insights and innovative solutions
- Any experience or familiarity with building data trust frameworks or environments is ideal
- Must have an understanding of incident response and automation
- Any understanding of AI readiness as it pertains to data is ideal
- Must have a proven track record of independently delivering projects from requirements through implementation
- Experience collaborating with cross-functional teams including business stakeholders and technical teams
- Demonstrated ability to troubleshoot complex issues and implement effective solutions
- Experience in the insurance, financial services, or highly regulated industry
- Contributions to open-source projects or technical community involvement
- Experience with agile methodologies and DevOps practices
- Strong presentation skills with ability to communicate technical concepts to diverse audiences
- Track record of continuous learning and professional development
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