Atos
Atos
Atos oferă servicii de transformare digitală și soluții tehnologice pentru organizații din domenii precum consultanță, sănătate, logistică și alte industrii. Activitatea companiei acoperă cloud-ul și infrastructura, platformele digitale pentru afaceri, consultanța tehnologică, securitatea cibernetică, experiența utilizatorului și transformarea digitală a întreprinderilor. De asemenea, compania sprijină evenimente internaționale importante în calitate de partener oficial IT, inclusiv competițiile UEFA și Jocurile Olimpice, promovând în același timp inovația și sustenabilitatea în cadrul serviciilor sale tehnologice.

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.

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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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