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Job Description

The Managed Services Data Engineer - Experienced Associate role supports client engagements within PwC's Data & Analytics practice by designing data driven solutions, building robust data pipelines, and delivering actionable analytics. The position emphasizes collaboration, ongoing learning, and contributing to client work while expanding technical capabilities in a dynamic environment.

Job Details

Location: Charlotte, NC (onsite)

Salary: USD 63,000 - 140,000 per year

Minimum Experience: 1 year

Education: Bachelor's degree

Responsibilities

  • Develop and implement data driven solutions to optimize performance and competitive positioning, covering data engineering and ETL tasks.
  • Apply advanced analytics techniques to provide strategic insights and support data informed decision making, including SQL optimization.
  • Build and maintain data pipelines to enable efficient data collection and analysis, utilizing DataStage.
  • Create reports and dashboards with business intelligence tools such as Oracle BI and QlikView, drawing on sources like DB2 and SQL Server.
  • Collaborate with team members to collect and analyze data from multiple sources to identify patterns and trends, employing star schemas and dimension modeling.
  • Design and maintain robust database structures through data architecture development, including snowflake models.
  • Participate in continuous process improvement to enhance data quality and integrity.
  • Support client engagements by listening to diverse perspectives in regulated environments and responding accordingly.
  • Contribute to the development of business cases and market development strategies through data analysis and interpretation.
  • Adapt to a fast paced environment and take ownership of tasks to consistently deliver quality work, including job scheduling and UNIX tasks.

Requirements

  • Bachelor's degree
  • At least 1 year of experience

Technologies

  • DataStage
  • Oracle Business Intelligence
  • QlikView
  • DB2
  • SQL Server
  • SQL
  • Python
  • Java
  • Spotfire
  • Oracle BI
  • Snowflake
  • UNIX

Benefits

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

What Sets You Apart

  • Preference for at least one of the following fields of study: Computer and Information Science; Computer and Information Science & Accounting; Economics; Economics and Finance; Economics and Finance & Technology; Operations Management/Research; Statistics; Engineering
  • Proficiency in Python and Java programming languages
  • Experience with data visualization tools such as QlikView and Spotfire
  • Developing business intelligence solutions using Oracle BI
  • Engaging in data architecture development and management
  • Applying macroeconomic and microeconomic analysis skills
  • Strong capabilities in data analysis and interpretation

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