In_senior Associate_azure Data Engineer_data & Analytics_advisory_pan India

Virtualspaces Pwc

Azure data factory development
Apache spark expertise
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.
  • They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
  • 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 Factory development
  • Apache Spark expertise
  • Cloud-based data warehousing
  • Data pipeline design and implementation
  • Azure Synapse and Azure SQL
  • Agile delivery and DevOps methodology

Nice-to-have

  • Accepting Feedback
  • Active Listening
  • Analytical Thinking
  • Data Anonymization
  • Database Security Best Practices
  • Python programming knowledge
  • Databricks & Azure Big Data Certification

Key Requirements

  • 3-8 years experience
  • Bachelor or Master of Engineering degree
  • Experience with Azure DevOps
  • Expertise in Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake
  • Knowledge of DevOps CI/CD and Infrastructure as Code
  • Experience in cloud-based analytics solutions

Work Rights

Not specified

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