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Job Description

In a senior data engineering role within PwC's Managed Services, this position combines technical leadership with managerial responsibilities to drive data initiatives, mentor teams, and nurture client relationships while delivering analytics-driven solutions that enhance business performance.

Responsibilities

  • Lead data engineering initiatives to extract strategic insights and boost business performance, including ETL and ELT integration.
  • Design and implement innovative data solutions employing advanced analytics techniques, with experience in DataStage.
  • Manage and mentor project teams to develop their skills and deliver high-quality services, including pipeline architecture.
  • Utilize business intelligence tools and cloud-based analytics platforms to advance data-driven decision making, leveraging AWS and Redshift.
  • Construct and maintain data pipelines and architectures that support analytics programs, using DB2 and SQL Server.
  • Collaborate with stakeholders to identify opportunities for data utilization and process improvements, including GoldenGate and CDC.
  • Oversee the deployment of scalable data visualization and reporting solutions with attention to performance tuning.
  • Promote the adoption of new technologies and methodologies within data and analytics teams, including S3 and Glue.
  • Address and resolve conflicts or issues with clients and team members, escalating when necessary.
  • Uphold professional and technical standards in line with the firm’s code of conduct and independence requirements.

Requirements

  • Bachelor's degree
  • Minimum of 4 years of relevant experience

Technologies

  • DataStage
  • AWS
  • Redshift
  • DB2
  • SQL Server
  • GoldenGate
  • CDC
  • S3
  • Glue
  • BIRT
  • Python
  • Java
  • QlikView
  • Spotfire

Benefits

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

What Sets You Apart

  • Academic background in one of the following fields: Computer and Information Science; Computer and Information Science & Accounting; Economics; Economics and Finance; Economics and Finance & Technology; Operations Management or Research; Statistics; Engineering
  • Demonstrated proficiency with Business Intelligence and Reporting Tools, notably BIRT
  • Experience using Python and Java for data engineering tasks
  • Strong capabilities in data visualization with QlikView and Spotfire
  • Experience developing data architectures and pipeline strategies
  • Commitment to continuous process improvement in data analytics
  • Proven ability to lead teams in data driven decision making

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