In_associate_azure Data Engineer_data & Analytics_advisory_pan India

Pwpoland

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

Nice-to-have

  • Python programming skills
  • Experience with API and streaming ingestion
  • Knowledge of DevOps CI/CD processes
  • Strong communication and collaboration
  • Data security model development
  • Certification in Databricks & Azure Big Data Architecture
  • Active listening and accepting feedback

Key Requirements

  • 3-8 years experience
  • BE, B.Tech, MCA, M.Tech degree
  • Expertise in Azure Data Factory, Azure Synapse, Azure SQL
  • Proven data engineering experience
  • Knowledge of data warehousing methodologies
  • Databricks & Azure Big Data Architecture certification preferred

Work Rights

Not specified

Tailored Resume

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