Atos
Atos
Atos консалтинг, денсаулық сақтау, логистика және басқа да салалардағы ұйымдарға цифрлық трансформация қызметтері мен технологиялық шешімдер ұсынады. Компанияның қызметі бұлтты технологиялар мен инфрақұрылымды, цифрлық бизнес платформаларын, технологиялық консалтингті, киберқауіпсіздікті, пайдаланушы тәжірибесін және кәсіпорындардың цифрлық трансформациясын қамтиды. Сондай-ақ компания UEFA мен Олимпиада ойындарын қоса алғанда, ірі халықаралық іс-шараларға ресми IT серіктесі ретінде қолдау көрсетіп, технологиялық қызметтер саласында инновациялар мен тұрақты дамуды ілгерілетеді.

Microsoft Fabric Data Engineer at Atos in Gurugram

Build and operate production data platforms for Atos using Microsoft Fabric, Azure, Python, PySpark, and SQL. The role focuses on lakehouse pipelines, semantic models, secure deployments, and enterprise data operations.

Сипаттама

  • Build and deliver production-grade data solutions with Microsoft Fabric
  • Architect ETL and ELT pipelines, lakehouse patterns such as Delta Lake, and dimensional models
  • Use OneLake, Lakehouse, Data Pipelines, Fabric Notebooks, and Power BI semantic models
  • Develop, optimize, and diagnose data workloads with Python, PySpark, and SQL
  • Establish data quality, observability, logging, alerting, and operational support for enterprise pipelines
  • Apply identity controls, secrets management, and secure service-to-service connectivity across Azure environments
  • Manage data platform assets through Git-based version control and automated deployment workflows
  • Collaborate effectively with technical teams and business stakeholders

Талаптар

  • At least four years of experience in data engineering, data platforms, analytics engineering, or a related field
  • Hands-on experience delivering production workloads with Microsoft Fabric
  • Practical expertise with OneLake, Lakehouse, Data Pipelines, Fabric Notebooks, and Power BI semantic models
  • Advanced Python, PySpark, and SQL skills, including performance optimization and troubleshooting
  • Experience building ETL and ELT pipelines, Delta Lake or comparable lakehouse architectures, and dimensional data models
  • Background in data quality, observability, logging, alerting, and production support for enterprise pipelines
  • Experience applying identity and access controls, managing secrets, and securing service-to-service Azure connectivity
  • Working knowledge of Git-based version control and automated deployment for data platform assets
  • Clear communication skills and the ability to partner with technical and business stakeholders

Артықшылықтар

  • Atos integrates diversity and inclusion into its organizational culture
  • Atos is committed to maintaining a fair working environment
  • Atos maintains an Environment, Social, and Governance commitment

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