Nokia
Nokia
Nokia एक वैश्विक B2B प्रौद्योगिकी कंपनी है, जिसका ध्यान दूरसंचार, उद्यम नेटवर्किंग और डिजिटल अवसंरचना पर केंद्रित है। यह सेवा प्रदाताओं, व्यवसायों और सार्वजनिक क्षेत्र के संगठनों के लिए सुरक्षित और सुदृढ़ नेटवर्क समाधान विकसित करती है, जिससे बड़े पैमाने पर लोगों, मशीनों और उपकरणों को जोड़ने में मदद मिलती है। इसके कार्य में 5G, कृत्रिम बुद्धिमत्ता और क्वांटम-सुरक्षित नेटवर्किंग के साथ-साथ Nokia Bell Labs के माध्यम से अनुसंधान और दीर्घकालिक प्रौद्योगिकी विकास शामिल हैं। Nokia में अवसर तलाशने वाले नौकरी आवेदकों को नेटवर्क इंजीनियरिंग, दूरसंचार, उद्यम प्रौद्योगिकी, अवसंरचना और उन्नत अनुसंधान से जुड़े अवसर मिल सकते हैं।

Nokia Senior Program Manager, PIC Data Engineering — Remote Nevada

Lead Nokia’s governed lakehouse, warehouse, and pipeline engineering for photonic integrated circuit operations. Build AI-ready data foundations that support analytics and connectivity innovation.

विवरण

  • Own the architecture and hands-on delivery of scalable cloud lakehouses and data warehouses for PIC operations
  • Use Databricks, AWS, or comparable platforms to meet Nokia’s operational data requirements
  • Shape, optimize, and evolve enterprise data models and semantic layers
  • Build and maintain reliable batch and real-time pipelines with ETL/ELT and streaming technologies
  • Define data quality frameworks, monitoring, and observability practices
  • Deliver CI/CD pipelines and advance DataOps practices
  • Lead data governance across cataloging, lineage, metadata, and access controls
  • Establish security protocols and role-based access management
  • Create governed, AI-ready data foundations for self-service analytics, AI-assisted discovery, and advanced analysis
  • Provide business, engineering, and analytics teams with secure access to trusted enterprise data
  • Develop infrastructure for AI, automation, machine learning, and advanced analytics programs
  • Mentor product engineers, set technical direction, and promote strong engineering practices
  • Promote data quality, accountability, self-service adoption, and continuous improvement

आवश्यकताएँ

  • 15+ years of progressive experience in data engineering, data architecture, or a related discipline
  • Demonstrated success delivering solutions for wafer and chip fabrication processes
  • Bachelor’s degree
  • At least five years leading, developing, and motivating technical teams
  • Advanced SQL skills and deep experience with modern cloud data platforms and distributed processing frameworks
  • Practical experience with Databricks, Redshift, or BigQuery
  • Background building governed data platforms and products for self-service analytics, AI-assisted analytics, machine learning, and advanced analytical workloads
  • Databricks lakehouse architecture, Unity Catalog, Genie, and Genie Code experience is strongly preferred
  • Strong command of enterprise and dimensional data modeling and semantic layer design
  • Experience with data orchestration and sophisticated pipeline automation
  • Ability to architect scalable, secure, governed, and dependable enterprise data solutions
  • Excellent communication and interpersonal skills
  • Proven ability to collaborate across business, engineering, analytics, and technology teams

लाभ

  • Company-supported laptop ordering
  • Remote work arrangement

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