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Metro Bengaluru role with a general senior title but niche Skywise/BigData requirements, moderating applicant density.
Skywise and Foundry specialization creates strong domain bias and low cross-industry transferability.
Explicit 8-10 years plus 4+ years Skywise and mandatory PySpark, Python, Foundry skills increases filter strictness.
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Own design and development of high-quality, scalable, and reliable solutions using Skywise dashboard components (Slate, Workshop, Object Explorer) and server-side Python/PySpark processing.
Perform deep technology root cause analysis and drive performance improvements for Skywise applications.
Engage directly with European customers to understand requirements, deliver solutions, and suggest best practices.
8+ years total work experience with at least 4 years focused on Skywise and Big Data development.
Proficient in Python, PySpark, Spark SQL, SQL, and JavaScript or TypeScript development.
Experience with Skywise & Foundry tools including Slate, Workshop, and Object Explorer is mandatory.
Engineering graduate degree required.
Experienced in developing enterprise-scale, maintainable, and reusable software components with a strong focus on code quality and robustness.
Skilled in customer engagement, capable of effectively communicating technical solutions to European clients.
Familiarity with Agile methodologies such as Scrum, Kanban, or XP to work efficiently in iterative development environments.