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Job Description

PwC is seeking a Senior Data Engineer - Senior Manager in Miami, onsite. In Technology Consulting, you will lead data engineering initiatives, leverage data and analytics to deliver strategic insights for clients, and guide teams to solve complex problems. The role offers a salary range of USD 124,000 to 280,000 per year. A Bachelor's degree is required, with a minimum of six years of experience.

Benefits

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

Responsibilities

  • Design and implement innovative data solutions that optimize business performance and boost client competitiveness, including roadmap development and solution optimization.
  • Apply advanced analytics techniques to support client operations and strategic goals, including AWS data engineering and Redshift implementations.
  • Build and maintain data pipelines and architectures to underpin business intelligence efforts, leveraging DataStage and ETL processes.
  • Deploy data visualization capabilities to deliver actionable insights and improve client outcomes, using SQL Server and DB2.
  • Partner with stakeholders to identify data challenges and opportunities, aligning with managed services and service level agreements.
  • Coach and motivate teams to solve complex problems and deliver high-quality results.
  • Use systems thinking to uncover underlying issues and opportunities within client projects, including workload orchestration and scheduling.
  • Validate outcomes with clients and refine solutions based on feedback, focusing on CSAT and performance tuning.
  • Lead teams through ambiguous and challenging situations with composure and sound judgment.

Requirements

  • Bachelor's degree required
  • Minimum of six years of experience

Technologies

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

What sets you apart

  • Preferred fields of study include Computer and Information Science; Computer and Information Science and Accounting; Economics; Economics and Finance; Economics and Finance and Technology; Operations Management or Operations Research; Statistics; Engineering.
  • Demonstrated expertise in data architecture design and managing data pipelines.
  • Proficiency in Python and Java for advanced data analysis and visualization.
  • Experience with BI tools such as QlikView and Oracle BI.
  • Experience leading strategic questioning and stakeholder engagement initiatives.
  • Ability to apply systems thinking to identify root problems.
  • Ability to guide teams through complex and ambiguous situations.

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