Lead Data Consultant, Manager

263

Canada
Base: $112,400 - $162,400; bonus/equity: variable ...
Not specified
6+ years data engineering experience
Cloud platform pipeline development (azure/aws/gcp)
Large scale data solution design
PwC Canada is seeking a Lead Data Consultant at a managerial level, focusing on leveraging data to drive insights and informed business decisions. The ideal candidate should have extensive experience in data engineering and analytics, with strong leadership skills to mentor teams and deliver quality client outcomes

Job Summary

  • This role focuses on leveraging advanced analytics techniques to help clients optimize operations and achieve strategic goals through data-driven decision-making.
  • You will be responsible for coaching team members, managing performance, and identifying opportunities that contribute to the firm's success.
  • The position offers a competitive salary range of $112,400 - $162,400 with opportunities for variable incentive pay and comprehensive benefits.

Matching Summary

Match Score: 85

PwC Canada is seeking a Lead Data Consultant at a managerial level, focusing on leveraging data to drive insights and informed business decisions. The ideal candidate should have extensive experience in data engineering and analytics, with strong leadership skills to mentor teams and deliver quality client outcomes.

Salary

Base: $112,400 - $162,400; Bonus/Equity: Variable incentive pay programs available; Benefits: Competitive compensation package and inclusive benefits

Skills & Requirements

Must-have

  • 6+ years data engineering experience
  • Cloud platform pipeline development (Azure/AWS/GCP)
  • Large scale data solution design
  • Python/Java/SQL programming proficiency
  • Big data technologies (Spark/Hadoop/Kafka)

Nice-to-have

  • Machine Learning library proficiency
  • Deep Learning/AI framework knowledge
  • JavaScript/React frontend skills
  • Data engineering certification
  • Open source database experience

Key Requirements

  • 6+ years experience in data engineering or architecture
  • Proficiency in SQL Server, Oracle DB, Azure Synapse, Redshift
  • Experience building data processing pipelines from ingestion to consumption
  • Knowledge of data modelling, munging, and management tool sets

Work Rights

Not specified

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