Senior Data Platform Engineer for The Hartford overseeing AWS Big Data solutions. Collaborating with teams to ensure data platform scalability and reliability across various enterprise applications.
Responsibilities
Administer and engineer Big Data platforms across multiple Hadoop clusters in the cloud (AWS EMR)
Design and maintain scalable and resilient multi-tenant Data Platforms through Infrastructure as Code
Ensure operational excellence and service restoration in high impact incidents
Apply Site Reliability Engineering principles to design robust tooling and automated responses
Own and evolve the architecture of Platform, PaaS, and SaaS solutions
Participate in on-call rotation for service-impacting incidents
Evaluate and manage emerging data technologies to drive innovation
Serve as a subject matter expert for data platforms and application interfaces
Provide leadership and mentorship to junior and mid-level data engineers
Develop training materials and user training sessions
Requirements
Bachelor's degree in computer science, Computer Engineering, or a closely related field (or foreign equivalent)
Extensive expertise in platform administration, big data technologies, data engineering, analytics, and operations
Proficiency in tools including Hadoop, Linux, Python, SQL, Spark, and cloud platforms
At least 7 years of progressive experience in IT, platform administration, or analytics
At least 3 years of hands-on engineering experience in developing AWS platform solutions
Knowledge in data engineering with exposure to designing and building data applications
Experience in change and incident management processes
Experience in implementing Reliability Engineering and Observability dashboards
Strong analytical ability and problem analysis techniques
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