In_associate_azure Data Engineer_data & Analytics_advisory_pan India

Dc404

Azure data factory development
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.
  • 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 framework proficiency
  • Cloud-based data warehousing
  • Data pipeline design and implementation
  • Azure Synapse and Azure SQL expertise
  • Agile delivery and DevOps methodology
  • Data integration and transformation

Nice-to-have

  • Accepting Feedback
  • Active Listening
  • Communication skills
  • Data Anonymization knowledge
  • Database Security Best Practices
  • Python programming
  • Infrastructure as code experience

Key Requirements

  • 3-8 years experience
  • Bachelor of Technology degree
  • Expert level Azure Data Factory knowledge
  • Databricks & Azure Big Data Architecture Certification preferred
  • Experience with CI/CD and DevOps processes
  • Experience designing security models

Work Rights

Not specified

Tailored Resume

Cover Letter