In_associate_azure Data Engineer_data & Analytics_advisory_pan India

pwc.is

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 Databricks integration
  • Azure Synapse and Azure Data Lake expertise

Nice-to-have

  • Agile delivery and DevOps methodology
  • Python programming knowledge
  • Data warehouse modeling principles
  • Communication and collaboration skills
  • Reusable code and framework development
  • Security model development

Key Requirements

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

Work Rights

Not specified

Tailored Resume

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