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Tier-1 brand, Bangalore location and generic lead title raise competition, but Palantir Skywise specialization narrows the applicant pool.
Deep Palantir Skywise expertise and European customer-facing support make skills highly industry-specific.
Multiple mandatory filters: 7+ years overall, 4+ years Skywise, and mandatory PySpark.
Lead and implement end-to-end performance optimization solutions within the Airbus Skywise Big Data ecosystem.
Define and enforce technical best practices and conduct source code audits across the codebase.
Mentor development teams and engage with European customers to manage technical requirements and deliverables.
7+ years of total IT experience with 4+ years hands-on Palantir Skywise development experience.
Minimum 3 years customer-facing support or service experience, specifically with European customers.
Mandatory technical skills: Apache Spark, PySpark, Spark SQL, Python, JavaScript/TypeScript, Java, Scala, SQL, Git, CI/CD.
Graduate degree in Computer Science, IT, Engineering, or related field.
Experienced in designing scalable, maintainable Big Data processing architectures with multi-language proficiency across Python, Java, Scala, and JavaScript/TypeScript.
Proven ability to lead technical excellence and quality through defining standards and conducting deep root-cause analysis in distributed, agile teams.
Strong stakeholder management skills demonstrated by active engagement with European business partners and delivering solutions aligned with customer requirements.