In-senior Manager_azure Data Engineer_data & Analytics_advisory_pan India

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Azure data & analytics services
Designing and building data infrastructure
Developing and implementing data pipelines
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients

Job Summary

  • At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.
  • In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis.
  • We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life.

Matching Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.

Skills & Requirements

Must-have

  • Azure Data & Analytics Services
  • designing and building data infrastructure
  • developing and implementing data pipelines
  • data integration and data transformation
  • Apache Spark and/or Azure Databricks
  • Azure Data Factory
  • Azure Synapse, Azure SQL, Azure Data Lake

Nice-to-have

  • technical leadership and thought leadership
  • collaboration with customers
  • reusable code and frameworks
  • Agile delivery / DevOps methodology
  • common data warehouse modeling principles
  • Python
  • Dev-Ops processes (including CI/CD)

Key Requirements

  • 10 - 20 Years experience
  • BE, B.Tech, MCA, M.Tech
  • Master of Engineering, Bachelor of Engineering
  • Azure Data Engineer (ADE) certification
  • Azure Databricks (ADB) certification
  • Azure Data Factory (ADF) certification

Work Rights

Not specified

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