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Strong employer brand and Bangalore location increase competition, but niche Skywise expertise reduces applicant density.
Role requires specific Palantir Skywise experience and aerospace customer support, limiting cross-industry transferability.
Multiple mandatory years and niche Skywise plus PySpark requirements make shortlisting highly strict.
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Lead technical excellence and establish coding standards for the Airbus Skywise Big Data ecosystem based on Apache Spark framework.
Design, implement, and optimize end-to-end data pipeline performance solutions and perform deep root cause analysis of complex issues.
Mentor development team members and interface directly with European customers to gather requirements and present technical solutions.
7+ years total IT experience with 4+ years specifically in Palantir Skywise development.
Minimum 3 years in a customer-facing support or service role, working with European customers.
Proficiency in Apache Spark, PySpark, Spark SQL (mandatory), Python, JavaScript/TypeScript, Java, Scala, SQL, and experience with Git and CI/CD.
Graduate degree in Computer Science, IT, Engineering, or related field.
Strong experience working within Agile methodologies (Scrum, Kanban, or XP) in international or distributed teams.
Demonstrated ability to lead technical teams and impose best practices and quality standards through code audits and technical mentoring.
Familiarity with Skywise application tools (Workshop, Slate, Foundry Ontology) and lightweight data engines such as Polars and DuckDB is preferred.