In-senior Associate_databricks_data & Analytics_advisory_pan India

Pwpoland

Azure databricks
Apache spark framework
Azure data factory pipelines
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 Databricks
  • Apache Spark framework
  • Azure Data Factory pipelines
  • Cloud-based data warehousing
  • Data pipeline design and implementation
  • Azure Synapse and Azure SQL
  • Agile delivery and DevOps methodology

Nice-to-have

  • Python programming
  • Team collaboration and adaptability
  • Data security model development
  • Databricks & Azure Big Data Architecture Certification
  • Customer engagement and technical leadership
  • Reusable code and framework development
  • Knowledge of CI/CD and infrastructure as code

Key Requirements

  • 3 - 8 years experience
  • BE, B.Tech, MCA, M.Tech degree
  • Expertise in Azure Data Factory and Azure Synapse
  • Experience with Apache Spark and Databricks
  • Knowledge of data warehousing methodologies
  • Understanding of Azure Cloud Infrastructure
  • Business Analysis skills

Work Rights

Not specified

Tailored Resume

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