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Job Description

An onsite opportunity within PwC's Technology Consulting practice in Miami, this Senior Data Engineer - Senior Manager will lead data engineering initiatives, using data and analytics to deliver strategic client insights while guiding teams to tackle complex problems. The role offers a salary range of USD 124,000 to 280,000 per year and requires a bachelor’s degree along with at least six years of experience.

Responsibilities

  • Develop innovative solutions to improve business performance and create competitive differentiation, including roadmaps to guide initiatives
  • Apply advanced analytics techniques to support client operations and strategic goals, incorporating AWS data engineering and Redshift
  • Design, build, and maintain data pipelines and architectures to power business intelligence efforts using DataStage and ETL processes
  • Implement data visualization capabilities to deliver actionable insights for client outcomes, leveraging SQL Server and DB2
  • Collaborate with stakeholders to identify data challenges and opportunities, aligning work with managed services and service level agreements
  • Coach and motivate teams to solve complex problems and deliver high-quality results
  • Apply systems thinking to uncover underlying issues and opportunities within client projects, including workload orchestration and scheduling
  • Validate outcomes with clients and incorporate feedback to refine solutions, with focus on CSAT and performance tuning
  • Guide teams through ambiguous and challenging situations with composure and sound judgment

Requirements

  • Bachelor’s degree or higher
  • Minimum of 6 years of relevant experience

Technologies

  • AWS
  • Redshift
  • DataStage
  • SQL Server
  • DB2
  • Python
  • Java
  • QlikView
  • Oracle BI

Benefits

  • Medical
  • Dental
  • Vision
  • 401k
  • Holiday pay
  • Vacation
  • Personal and family sick leave

What Sets You Apart

  • Preference for study in fields such as Computer and Information Science, Economics, Engineering, Operations Management/Research, Statistics, and related combinations with Accounting or Finance
  • Demonstrated expertise in data architecture development and data pipeline management
  • Proficiency in Python and Java for complex data analysis and visualization
  • Strong experience with business intelligence tools like QlikView and Oracle BI
  • Ability to lead strategic questioning and engage stakeholders effectively
  • Applied systems thinking to identify root causes and opportunities in data projects
  • Proven track record of directing teams through complex and ambiguous situations

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