Atos
Atos
Atos konsalting, sog‘liqni saqlash, logistika va boshqa sohalardagi tashkilotlarga raqamli transformatsiya xizmatlari hamda texnologik yechimlarni taqdim etadi. Kompaniya faoliyati bulutli texnologiyalar va infratuzilma, raqamli biznes platformalari, texnologik konsalting, kiberxavfsizlik, foydalanuvchi tajribasi hamda korporativ raqamli transformatsiyani qamrab oladi. Shuningdek, kompaniya UEFA va Olimpiya o‘yinlari kabi yirik xalqaro tadbirlarni rasmiy IT hamkori sifatida qo‘llab-quvvatlaydi hamda texnologik xizmatlarda innovatsiya va barqaror rivojlanishni ilgari suradi.

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.

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • 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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