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Niche Skywise/Foundry skillset and senior (8-10y) reduces candidate pool despite Sopra Steria brand.
Skywise/Foundry and aerospace-focused BigData expertise makes backgrounds hard to transfer across industries.
Explicit 8-10 years requirement plus 4+ years Skywise and specific tech stack mandates strict filtering.
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Design and develop high-quality, scalable, and reliable solutions using Skywise dashboard components and big data technologies.
Perform deep technological root cause analysis and implement performance improvements for application portfolios.
Engage directly with European customers to understand requirements and deliver enterprise-scale, robust server-side code primarily using Python, PySpark, and JavaScript/TypeScript.
8+ years total work experience with at least 4 years exclusively in Skywise or Big Data development.
Proficiency in Python, PySpark, Spark SQL, and JavaScript/TypeScript.
Experience with Skywise dashboarding components such as Slate, Workshop, and Object Explorer.
Engineering graduate degree; availability to work in European time zones/shift.
Experienced in working within agile teams (Scrum, Kanban, or XP) with enterprise-scale development practices.
Strong problem-solving and analytical skills demonstrated through technology root cause analysis and performance enhancement.
Comfortable in customer-facing roles involving direct collaboration with European clients.