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RevoData
RevoData
11 – 50 Xodimlar
B2BKonsaltingSun’iy intellekt
RevoData — faqat Databricks platformasiga ixtisoslashgan, Niderlandiyada joylashgan ma’lumotlar va sun’iy intellekt bo‘yicha konsalting kompaniyasi. Uning konsalting jamoasi boshqariladigan Databricks xizmatlari, arxitektura tahlillari, treninglar, sun’iy intellekt muhandisligi, geofazoviy konsalting, ma’lumotlarni ko‘chirish va jarayonlarni optimallashtirish orqali korxonalarga modulli, ishlab chiqarishda foydalanishga tayyor ma’lumotlar va sun’iy intellekt platformalarini loyihalash hamda boshqarishda yordam beradi. Databricks Gold Partner maqomi, Databricks Champions mutaxassislari va to‘liq Databricks sertifikatiga ega jamoasi bilan RevoData murakkab korporativ ma’lumotlar loyihalarida platforma tajribasini amaliy joriy etish ko‘magi bilan birlashtiradi.
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Kompaniyadagi ish o‘rinlari

Senior/Principal Data Engineer – Databricks, Hungary Remote

Join RevoData to design scalable Databricks platforms, data pipelines, and client solutions. Shape architecture and technical direction for data and AI projects across Europe.

HUVengriya
2 000 000 Ft – 2 700 000 Ft / oy
MasofaviyTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar muhandisi
AWSAzureBulutETLGoogle Cloud PlatformPythonSQLUnity

Tavsif

  • Define how data platforms are designed, operated, and evolved
  • Own data platform initiatives from initial concept through implementation
  • Make architectural decisions and continuously improve platform capabilities
  • Create scalable Databricks foundations using Delta Lake, Unity Catalog, and governance practices
  • Orchestrate workflows and establish effective code and deployment structures
  • Design and develop data flows spanning ingestion through consumption
  • Build and support data models, pipelines, and ETL/ELT solutions
  • Provide technical leadership through peer reviews, mentoring, and knowledge exchange
  • Evaluate assumptions, communicate trade-offs, and guide decisions with engineers, product owners, and CTOs
  • Help clients turn data into value through scalable platforms supporting practical business use cases
  • Candidates without Databricks experience can complete a seven-month development track with certifications, client project work, and internal knowledge sharing before moving to a permanent contract after agreed milestones

Talablar

  • Experience leading or significantly contributing to data platforms from initial concept to delivery
  • A track record of making architectural decisions, owning results, and improving platforms
  • Strong knowledge of Databricks, including Delta Lake, Unity Catalog, governance, Workflows, code organization, and deployments
  • Candidates with strong data platform experience but limited Databricks exposure can apply through the available specialization track
  • Proficiency in Python and SQL
  • Experience with data modeling and data pipeline development
  • Experience working with Azure, AWS, or Google Cloud Platform
  • Experience developing ETL/ELT pipelines and cloud-based data solutions
  • Ability to establish an approach, architecture, and initial plan for ambiguous data platform work
  • Ability to combine pragmatic delivery with quality and sustainable long-term design
  • Ability to strengthen colleagues’ technical skills through reviews and knowledge sharing
  • Ability to influence technical and business decisions while clearly explaining trade-offs
  • Databricks certifications such as Data Engineer Professional or Machine Learning Engineer Professional are advantageous
  • Databricks Champion status is advantageous

Imtiyozlar

  • Databricks learning materials, certification support, and access to partner academies
  • Ongoing internal workshops and knowledge-sharing sessions
  • Hands-on work with modern data and AI technologies, including Databricks and the broader data engineering ecosystem
  • Flexible, collaborative work with remote and hybrid options
  • International colleagues and client collaboration across multiple industries
  • Paths to deepen technical expertise, consulting capability, and technical leadership
  • Regular team activities and opportunities to connect with the wider RevoData organization
  • Sustainable working practices and a focus on employee wellbeing

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