In-senior Manager_azure Data Engineer_data & Analytics_advisory_pan India

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Azure data factory expertise
Apache spark framework proficiency
Cloud-based data warehousing
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.
  • We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life.
  • You will provide technical leadership and thought leadership as a senior member of the Analytics Practice in areas such as data access, ingestion, processing, integration, modeling, and advanced analytics.

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 Factory expertise
  • Apache Spark framework proficiency
  • Cloud-based data warehousing
  • Data pipeline design and implementation
  • Azure Databricks integration
  • Agile delivery and DevOps methodology

Nice-to-have

  • Python programming knowledge
  • Strong communication skills
  • Coaching and feedback abilities
  • Analytical thinking
  • Creativity in problem solving
  • Data security best practices

Key Requirements

  • 10 - 20 years experience
  • BE, B.Tech, MCA, M.Tech degrees
  • Expert level understanding of Azure services
  • Databricks & Azure Big Data Architecture Certification preferred
  • Knowledge of DevOps and CI/CD processes

Work Rights

Not specified

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