In-senior Manager_azure Data Engineer_data & Analytics_advisory_pan India

PwC

Kolkata, India
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.
  • You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions using Azure and Apache Spark technologies.
  • PwC offers a purpose-led and values-driven work environment that supports wellbeing, inclusivity, mentorship, and innovation to help employees thrive.

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 Databricks integration
  • Azure Synapse and Azure SQL expertise
  • Agile delivery and DevOps methodology

Nice-to-have

  • Python programming knowledge
  • Strong communication skills
  • Coaching and feedback abilities
  • Analytical thinking
  • Creativity in problem solving
  • Data security model development
  • Knowledge of CI/CD and infrastructure as code

Key Requirements

  • 10 - 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
  • Proven experience as a data engineer
  • Knowledge of Kimball data warehouse modeling
  • Experience with DevOps CI/CD processes

Work Rights

Not specified

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