FactSet
FactSet
FactSet investitsiya mutaxassislari va moliya institutlari uchun integratsiyalashgan moliyaviy ma’lumotlar, tahliliy yechimlar va dasturiy ta’minot ishlab chiqadi. Uning platformasi investitsiya tadqiqotlari, portfelni boshqarish, aktivlarni boshqarish va xatarlarni tahlil qilish uchun ma’lumotlar hamda vositalarni birlashtirib, jamoalarga murakkab ma’lumotlar bilan ishlash va turli aktiv sinflaridagi imkoniyatlarni baholashda yordam beradi. FactSet, shuningdek, moliyaviy kompaniyalarning tahliliy ma’lumotlarga kirish, bozorlarni tahlil qilish va investitsiya qarorlarini qabul qilish usullarini takomillashtirish uchun sun’iy intellekt va ma’lumotlar texnologiyalaridan foydalanadi. Kompaniya butun dunyo bo‘ylab aktivlarni boshqaruvchilar, konsalting kompaniyalari, xedj fondlari va boshqa tashkilotlarga xizmat ko‘rsatadi.

Cloud Engineer III – Databricks, Snowflake, AWS/GCP (Hybrid)

Manage Databricks and Snowflake platforms supporting FactSet’s financial data and analytics products. Oversee AWS and GCP infrastructure, CI/CD, security, FinOps, observability, and disaster recovery.

Tavsif

  • Plan and implement enterprise data platforms across AWS and GCP
  • Promote cloud-native services and make core infrastructure accessible to engineering teams
  • Help engineering teams adopt automation and effective release practices
  • Partner with security teams to strengthen protection for cloud services and data
  • Administer Databricks Unity Catalog governance across more than 100 projects, including compute policies, cluster custodian rules, and access controls
  • Maintain and enhance Terraform and Databricks Asset Bundles CI/CD pipelines with GitHub Actions and CodeBuild
  • Support DDL and grant management through Flyway-based migration tools
  • Analyze FinOps across Databricks DBU usage, S3 storage, Snowflake, and related data platforms
  • Contribute to AWS-to-GCP migration planning for AI workloads
  • Design and assess secure architectures for external and third-party access
  • Build and operate centralized observability tools for jobs and pipelines
  • Restructure workspaces into a catalog-based architecture aligned with disaster-recovery tiers
  • Lead the future implementation of multi-region disaster recovery for Databricks
  • Use AWS and GCP expertise to configure Databricks network connectivity and resolve connectivity and performance issues

Talablar

  • At least 3 years of hands-on public cloud experience with AWS and/or GCP
  • At least 2 years of hands-on Databricks experience, including Unity Catalog, Delta Lake, and Databricks Asset Bundles
  • At least 1 year of Snowflake experience covering data warehousing, access management, and cross-platform integrations
  • Proven ability to work effectively across cross-functional technology teams
  • Professional fluency in written and spoken English
  • At least 3 years of AWS and/or GCP experience supporting Databricks workloads on cloud infrastructure
  • Understanding of cloud computing technologies
  • Strong working knowledge of Python, Terraform, or Ansible, including the Databricks Terraform provider and Databricks Asset Bundles
  • Experience with Docker, EC2/ASG, serverless Lambda, and ECS/EKS
  • Strong foundational knowledge of VPC, TGW, Direct Connect, ALB/NLB, and PrivateLink
  • Hands-on experience managing Databricks Unity Catalog governance, access controls, and compute policies
  • Experience with CI/CD tools including GitHub Actions and AWS CodeBuild
  • Knowledge of generative AI and AI/ML tools and methods, including MLflow and Model Serving
  • Experience with observability and monitoring tools for data pipelines and workflows
  • Required bachelor’s degree in information or computer science, engineering, or a related IT-focused discipline
  • Working knowledge of FinOps principles
  • Familiarity with Flyway or Liquibase
  • Understanding of identity and access management patterns, including OIDC authentication
  • Experience working in multi-cloud environments, especially AWS and GCP

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