PNC - Pittsburgh, PA

posted 2 months ago

Part-time - Mid Level
Pittsburgh, PA
Credit Intermediation and Related Activities

About the position

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Engineer Senior within PNC's Enterprise Data Management organization, you will be based in Pittsburgh-PA, Cleveland-OH, Birmingham-AL, Downers Grove-IL, Chicago-IL. In this role, you will lead the development, support, and implementation of data solutions for multiple applications to meet business objectives and user requirements. You will leverage your technical knowledge and industry experience to design, build, and maintain technology solutions. Your responsibilities will include leading data requirement analysis and the data preparation process development for targeted data solutions, as well as designing and building data service infrastructure across multiple data platforms according to the workflow. You will oversee the development and implementation of data solutions to ensure their scalability, availability, and maintainability, and consult on data migration and transformation to ensure the accuracy and security of data solutions. You will also be expected to think through business problems and processes as input for data virtualization solutions, which you will propose. Strong communication, solution development, documentation, and productive partnership skills with business leaders, analysts, and engineers are essential. You will serve as the intermediary between business and IT, working closely with end-user customers to solve complex problems using technology. A background with big data technologies such as Hadoop, Teradata, and Denodo is crucial for success in this position.

Responsibilities

  • Lead the development, support, and implementation of data solutions for multiple applications.
  • Conduct data requirement analysis and develop the data preparation process for targeted data solutions.
  • Design and build data service infrastructure on multiple data platforms according to the workflow.
  • Oversee the development and implementation of data solutions to ensure scalability, availability, and maintainability.
  • Consult on data migration and transformation to ensure the accuracy and security of data solutions.

Requirements

  • 5+ years of industry-relevant experience in data engineering and big data solutions.
  • Experience developing, engineering, and supporting big data pipelines using big data technologies.
  • Strong aptitude for analyzing business problems and processes for data virtualization solutions.
  • Ability to communicate effectively and develop solutions in partnership with business leaders, analysts, and engineers.
  • Background with Hadoop, Teradata, and Denodo.

Nice-to-haves

  • Analytical Thinking
  • Data Analytics
  • Data Mining
  • Data Science
  • Machine Learning

Benefits

  • Medical/prescription drug coverage (with a Health Savings Account feature)
  • Dental and vision options
  • Employee and spouse/child life insurance
  • Short and long-term disability protection
  • 401(k) with PNC match
  • Pension and stock purchase plans
  • Dependent care reimbursement account
  • Back-up child/elder care
  • Adoption, surrogacy, and doula reimbursement
  • Educational assistance, including select programs fully paid
  • Robust wellness program with financial incentives
  • Paid maternity and/or parental leave
  • Up to 11 paid holidays each year
  • 8 occasional absence days each year
  • 15 to 25 vacation days each year, depending on career level and years of service.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service