Alimentiv
Alimentiv
Alimentiv me’da-ichak yo‘llari va jigar kasalliklari sohalariga xizmat ko‘rsatuvchi ixtisoslashgan shartnoma asosidagi tadqiqot tashkilotidir. Kompaniya me’da-ichak yo‘llari kasalliklarini davolash usullarini ishlab chiqishga ko‘maklashish uchun klinik sinovlarni boshqarish, tadqiqot markazlari faoliyatini yuritish, me’yoriy talablar bo‘yicha qo‘llab-quvvatlash, aniqlik tibbiyoti va ilg‘or tibbiy tasvirlash xizmatlarini birlashtiradi. O‘ttiz yildan ortiq tajribaga ega Alimentiv 60 dan ziyod mamlakatdagi tibbiy va operatsion mutaxassislardan iborat global tarmoq orqali klinik tadqiqot xizmatlari, biomarkerlar bo‘yicha tahlillar hamda sinovlarni o‘tkazish va bemorlarni jalb qilishni qo‘llab-quvvatlovchi tasvirlash imkoniyatlarini taqdim etadi.

Senior Data Engineer – India Remote

Lead the design of Azure-based data platforms, pipelines, and integrations for enterprise analytics and AI/ML. This senior role supports a life sciences and healthcare-focused organization.

Tavsif

  • Architect and deliver end-to-end data solutions with Azure Databricks, PySpark, Azure Data Factory, and Azure SQL
  • Build and maintain data pipelines spanning source systems, integration, and data consumption
  • Apply bronze, silver, and gold layer modeling standards across data lakes
  • Create conceptual, logical, and physical data models
  • Tune Spark and SQL workloads for scalability, performance, and cost efficiency
  • Maintain metadata with data preparation, integration, and AI-enabled tools
  • Automate data integration and repeatable data preparation processes
  • Develop REST/JSON API integrations and real-time ingestion frameworks
  • Automate delivery workflows through Azure DevOps and Git-based CI/CD
  • Create reusable templates for ingestion and transformation pipelines
  • Build automated unit, regression, and integration testing frameworks
  • Prepare and curate datasets for business intelligence, reporting, and advanced analytics
  • Work with analytics teams to establish semantic models and KPIs
  • Develop performance-optimized models for self-service analytics
  • Provide data visualization support to end users when required
  • Lead technical design reviews and guide junior engineers
  • Collect and refine data requirements with cross-functional teams, business analysts, and stakeholders
  • Align data engineering initiatives with business and IT objectives
  • Support architectural roadmaps and evaluate emerging technologies
  • Find operational inefficiencies and propose improvements to executive leadership

Talablar

  • Bachelor’s degree in computer science, information systems, engineering, or a related discipline
  • Five to eight years of experience designing and developing enterprise-scale data solutions
  • Advanced proficiency with Databricks, Azure Fabric, PySpark, SQL, and Azure DevOps
  • Practical experience with Azure Data Factory, ADLS Gen2, and Azure SQL Server
  • Strong knowledge of Microsoft Azure data architectures, including data warehouses, data lakes, and data catalogs
  • Experience with Power BI; Tableau or Looker experience is an advantage
  • Working knowledge of CI/CD automation, Git, and infrastructure as code using ARM, Bicep, or Terraform
  • Understanding of GxP, GDPR/HIPAA, and relevant CFR, CTR, and CTD regulations
  • Track record of partnering with IT and business stakeholders and embedding analytics and data science outputs into business processes and workflows
  • Strong written and verbal communication skills
  • Ability to work independently and collaboratively while meeting critical deadlines

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