In_senior Associate_qms Implementation_oc Data & Analytics (d&a)_advisory_bhubaneshwar

PwC PricewaterhouseCoopers GmbH

Bhubaneshwar, India
Azure data factory, synapse analytics, databricks
Azure data lake storage gen2, azure blob storage
Azure databricks (spark), synapse analytics
PwC is looking for an experienced Senior Associate to lead and manage Quality Management System (QMS) implementation projects for clients, including system selection, configuration, validation, and deployment

Job Summary

  • PwC is looking for an experienced Senior Associate to lead and manage Quality Management System (QMS) implementation projects for clients, including system selection, configuration, validation, and deployment.
  • Responsibilities include designing and implementing robust ETL/ELT workflows, managing data lakes, processing big data, and working with various Azure database solutions.
  • The role requires expertise in QMS system configuration, workflow design, report generation, and knowledge of the validation lifecycle and quality documentation standards.

Matching Summary

PwC is looking for an experienced Senior Associate to lead and manage Quality Management System (QMS) implementation projects for clients, including system selection, configuration, validation, and deployment.

Skills & Requirements

Must-have

  • Azure Data Factory, Synapse Analytics, Databricks
  • Azure Data Lake Storage Gen2, Azure Blob Storage
  • Azure Databricks (Spark), Synapse Analytics
  • Azure SQL Database, Azure Cosmos DB
  • SQL, Python, or Scala proficiency
  • Data warehousing, ETL/ELT pipelines, data modeling
  • CI/CD, Azure DevOps, Infrastructure as Code (IaC)

Nice-to-have

  • Project management and leadership skills
  • Client-facing presentations and training delivery
  • Ability to influence stakeholders

Key Requirements

  • 3 to 7 years of experience
  • Bachelor’s degree in Life Sciences, Quality Management, Engineering, or related fields
  • Expertise in QMS system configuration, workflow design, and report generation
  • Knowledge of validation lifecycle and quality documentation standards
  • Ability to analyze and optimize quality processes leveraging digital tools

Work Rights

Not specified

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