carVertical
carVertical
carVertical एक ऑटोमोटिव डेटा कंपनी है, जिसका उद्देश्य वाहन के इतिहास का आकलन करना आसान बनाना है। इसकी VIN-आधारित रिपोर्टें बीमा, पुलिस, पंजीकरण और मरम्मत रिकॉर्ड सहित 1,000 से अधिक स्रोतों से जानकारी एकत्र करती हैं। इससे पुरानी कारों के खरीदारों और विक्रेताओं को संभावित क्षति, माइलेज में विसंगतियों, स्वामित्व संबंधी चिंताओं, वाहन के विनिर्देशों, सुरक्षा रेटिंग और बाजार मूल्य की तुलना की समीक्षा करने में मदद मिलती है। कंपनी मोबाइल ऐप और डीलरशिप, बीमा कंपनियों तथा लीज़िंग कंपनियों के लिए API इंटीग्रेशन जैसे व्यावसायिक समाधान भी उपलब्ध कराती है।

Senior Data Engineer in Vilnius (Hybrid) at carVertical

Build scalable data pipelines and platforms at carVertical, using automotive data to improve how vehicles are bought, owned, and traded. Drive architecture, infrastructure, and engineering standards across the data platform.

विवरण

  • Create scalable data pipelines and robust data models
  • Strengthen the infrastructure that supports data solutions
  • Investigate and experiment to solve complex data engineering problems
  • Partner with data, AI, machine learning, and intelligence teams
  • Own technical and architectural decisions for the data platform
  • Establish standards for testing, code quality, and infrastructure
  • Find and address technical debt
  • Improve infrastructure performance and manage costs effectively
  • Lead technical discussions and constructively question existing approaches
  • Share expertise and help fellow engineers grow
  • Work with Data Department teams to resolve dependencies and improve data flow

आवश्यकताएँ

  • Demonstrated experience building and maintaining production-grade data pipelines and data warehouse solutions
  • Strong knowledge of scalable, reliable, and maintainable data architecture
  • Practical experience with modern cloud data platforms and infrastructure
  • Regular experience using AI coding assistants and agents in engineering work
  • Experience with or familiarity with BigQuery, AWS, Terraform, dbt, Airflow, Spark, and AI agents
  • Sound understanding of software engineering practices
  • Ability to navigate ambiguous technical problems and make well-reasoned decisions
  • Strong collaboration skills across multiple technical teams

लाभ

  • Choose to work from home, the office, or a combination of both
  • Flexible working hours
  • Meaningful ownership of complex technical challenges
  • Learn from experienced colleagues while developing technical and leadership skills
  • Use a modern data stack with access to AI development tools
  • Help shape and improve the use of AI development tools

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