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Niji
Niji
1 001 – 5 000 Xodimlar
KiberxavfsizlikKonsaltingSun’iy intellekt

Niji — korxonalar va davlat sektori tashkilotlariga strategik g‘oyalarni amaliy mahsulotlar, xizmatlar va operatsion imkoniyatlarga aylantirishda yordam beradigan fransuz raqamli transformatsiya konsalting kompaniyasi. 2001-yilda tashkil etilganidan buyon kompaniya raqamli strategiya, xizmatlar dizayni, ma’lumotlar va sun’iy intellekt, texnologik muhandislik, kiberxavfsizlik hamda dasturiy ta’minot ishlab chiqish yo‘nalishlarini birlashtirib keladi.

Uning faoliyati mahsulot va xizmatlar innovatsiyasi, biznes modellari, mijozlar va foydalanuvchilar bilan munosabatlar, tashkiliy o‘zgarishlar, jarayonlarni takomillashtirish va sanoat vositalarini qamrab oladi. Niji Salesforce bilan bog‘liq loyihalarni ham o‘z ichiga olgan murakkab texnologik integratsiyalarni ham qo‘llab-quvvatlaydi. 1 400 dan ortiq xodimdan iborat konsalting kompaniyasi Fransiya bo‘ylab joylashgan ofislardan faoliyat yuritadi va Singapur, Ispaniya hamda Marokashda xalqaro ishtirokiga ega.

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Kompaniyadagi ish o‘rinlari

Senior Lead Data Engineer, Databricks

Lead the design and industrialization of data platforms for analytics, machine learning, and generative AI at Niji, a digital and technology consultancy. The role combines Databricks technical leadership with mentoring engineers and advising clients.

FRFransiyaGibridTo‘liq stavkaSeniorTalab Qilinadigan Til: fransuzchaMa’lumotlar muhandisi
AWSAzureBulutFluxGoogle Cloud PlatformPythonSparkSQLUnity

Tavsif

  • Translate business challenges into practical data solutions.
  • Design scalable, secure Databricks and Lakehouse architectures.
  • Set technical direction, technology choices, and development standards.
  • Design and oversee high-performance, production-ready data pipelines.
  • Apply best practices across Spark, Delta Lake, Unity Catalog, and Databricks.
  • Maintain data processing quality, performance, reliability, and governance.
  • Build data platforms for analytics, machine learning, and generative AI.
  • Work with Data Science and AI teams to prepare data and flows for AI models and applications.
  • Move solutions from design into production using CI/CD, monitoring, and DataOps.
  • Act as the technical authority on Data Engineering and Databricks.
  • Guide Data Engineers in technical decisions and professional development.
  • Promote good engineering practices and help set technical standards for the practice.
  • Contribute to tender responses and commercial proposals.
  • Assess client requirements and recommend high-value data solutions.
  • Advise clients on Databricks, Lakehouse architecture, and production-grade data platforms.

Talablar

  • University degree, engineering degree, or equivalent master’s-level qualification.
  • Substantial Data Engineering experience, ideally in complex or high-volume environments.
  • Five to ten years of experience, as stated in the job listing.
  • Demonstrated Databricks expertise, including production use.
  • Strong knowledge of Spark, Delta Lake, data modeling, and Lakehouse architectures.
  • Proficiency with at least one cloud platform: Azure, AWS, or GCP.
  • Strong Python and SQL skills.
  • Experience with production practices such as CI/CD, orchestration, monitoring, and DataOps.
  • Understanding of data governance, quality, security, and performance optimization.
  • Ability to design data platforms for analytics, machine learning, or generative AI.
  • Ability to assess technical choices and support a team.
  • Ability to provide technical leadership to teams and clients.
  • Databricks certification is an advantage.

Imtiyozlar

  • Professional development through Niji University, with more than 33,000 learning resources and practical experience.
  • Access to current AI tools for teams and specialists.
  • Individual support through regular one-to-one meetings, a dedicated HR Business Partner, and a skills framework.
  • Flexible working hours.
  • Remote work.
  • Meal vouchers.
  • Mobility allowance.
  • Access to a services platform.
  • Responsible business commitments and a strong CSR policy.
  • Impactful projects for major companies and mid-sized businesses.
  • Multidisciplinary teams across Consulting, Design, Data, AI, Cybersecurity, and Technology.

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