QE Big Data Lead
2 months ago
Experience (Years): 8-10
Essential Skills:
- Data QE Lead with 8+ years QE and lead experience on ETL, Big Data & Python skills.
- Strong Test Lead with 5+ years of functional testing experience, including 3+ years of testing in ETL, database, Big Data environment
- Strong communication and inter-personal skills required
- Ability to work with business and cross-functional teams.
Desirable Skills:
- Complex query writing, procedures, routines in Big Query
- Python programming
Requirements
Experience (Years): 8-10 Essential Skills: Hands-on working experience architecting Guidewire ClaimCenter solutions, including customization and integration. Guidewire certification is a plus.Other technologies of interest: Guidewire Cloud, Salesforce CRM, legacy modernization, and AWS. Proven knowledge & architecture experience in, architecture (digital / digital marketing / micro / macro / monolithic services, APIs), application integration, service-oriented architecture, event-driven architecture, application architecture, distributed architecture, data architecture and modelling.Proven experience with modelling languages & techniques. Can quickly comprehend the functions and capabilities of new technologies. Can understand the long-term ("big picture") and short-term perspectives of situations. Strong technical background (platforms, languages, protocols, frameworks, open source, etc.).Experience with architecture frameworks (TOGAF) & architecture certifications a plus.Experience in engaging and supporting claims teams and understanding their day-to-day operations in the P&C insurance space. Open and clear connect with the business, telecom, infrastructure, security, audit, vendors, and software engineering. Driven by challenges and results.Organized, proactive and a motivation for change.Knowledge on security standard methodologies and understand the impacts it can have on a business.Comfortable working in a constantly evolving technological environment.An excellent teammate who demonstrates leadership. Comfortable speaking with all levels of the organization and different audiences.
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