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Qualifications:
Must have a degree in Computer Science, Engineering, Data Science, or related field
Must have 4+ years’ experience in data and AI operations or related field
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
Job/Project Description:
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!!
1458150 – KLR_1779825972