In_senior Associate_azure Data Engineer_data & Analytics_advisory_pan India

UNYCC

Azure data & analytics services
Designing and building data infrastructure
Developing and implementing data pipelines
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities

Job Summary

  • At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities.
  • 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, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities.

Skills & Requirements

Must-have

  • Azure Data & Analytics Services
  • designing and building data infrastructure
  • developing and implementing data pipelines
  • data integration and data transformation
  • Azure Data Factory and Apache Spark
  • Azure Databricks
  • Azure Cloud Infrastructure offerings

Nice-to-have

  • technical leadership and thought leadership
  • collaboration with customers
  • reusable code, libraries, patterns
  • Agile delivery / DevOps methodology
  • common data warehouse modeling principles

Key Requirements

  • 3-8 Years of experience
  • BE, B.Tech, MCA, M.Tech
  • Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service
  • Proven experience working as a data engineer
  • Highly proficient in using the spark framework (python and/or Scala)
  • Extensive knowledge of Data Warehousing concepts
  • Knowledge of Dev-Ops processes (including CI/CD)

Work Rights

Not specified

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