In-senior Manager_azure Data Engineer_data & Analytics_advisory_pan India

263

Azure data factory development
Apache spark and databricks expertise
Cloud-based data warehousing
At PwC, our data and analytics engineering team leverages advanced technologies to transform raw data into actionable insights that drive business growth

Job Summary

  • At PwC, our data and analytics engineering team leverages advanced technologies to transform raw data into actionable insights that drive business growth.
  • The role involves providing technical and thought leadership in data engineering, designing performant data pipelines, and collaborating with customers to translate business needs into technical solutions.
  • PwC fosters an inclusive, purpose-led environment that supports wellbeing, mentorship, and innovation to help employees thrive both professionally and personally.

Matching Summary

At PwC, our data and analytics engineering team leverages advanced technologies to transform raw data into actionable insights that drive business growth.

Skills & Requirements

Must-have

  • Azure Data Factory development
  • Apache Spark and Databricks expertise
  • Cloud-based data warehousing
  • Data pipeline design and implementation
  • Azure Synapse and Azure Data Lake
  • DevOps and CI/CD processes

Nice-to-have

  • Agile delivery methodology
  • Python programming knowledge
  • Data security model development
  • Customer collaboration and engagement
  • Coaching and feedback skills
  • Creative problem solving

Key Requirements

  • 10 to 20 years of experience
  • BE, B.Tech, MCA, M.Tech degrees
  • Expertise in Azure Data Factory, Azure Synapse, Azure SQL
  • Databricks & Azure Big Data Architecture Certification preferred
  • Strong knowledge of data warehousing principles
  • Experience with DevOps and Infrastructure as Code

Work Rights

Not specified

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