In_associate_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.
  • 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 expertise
  • Apache Spark framework proficiency
  • Cloud-based data warehousing
  • Data pipeline development
  • Azure Synapse and Azure SQL
  • Agile delivery and DevOps methodology

Nice-to-have

  • Accepting Feedback
  • Active Listening
  • Communication skills
  • Data Anonymization knowledge
  • Database Security Best Practices
  • Databricks Unified Data Analytics Platform
  • Python programming knowledge

Key Requirements

  • 3-8 years experience
  • Bachelor of Technology degree
  • Expertise in Azure Data Factory, Azure Synapse, Azure SQL
  • Experience with Apache Spark and Databricks
  • Knowledge of DevOps and CI/CD processes
  • Databricks & Azure Big Data Architecture Certification preferred

Work Rights

Not specified

Tailored Resume

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