Data Engineer - Data and Automation; Oracle, SQL, ETL, Linux, Informatica)

Position: Data Engineer - Data and Automation (Oracle, SQL, ETL, Linux, Informatica)
OH - Strongsville

PA - Pittsburgh (15219)

Full time

R235785

** Position Overview*
* 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 within PNC's Enterprise Data Consumption organization, you will be based in Pittsburgh-PA or Strongsville-OH.

Responsibilities include:

a. Support and enhance the Commercial Risk Warehouse (CRW), a centralized data warehouse supporting risk management, analytics, reporting, and modeling across Commercial Banking.

b. Develop, troubleshoot, and maintain Oracle SQL, Informatica ETL processes, and data integration workflows supporting business-critical applications.

c. Investigate production incidents, perform root-cause analysis, resolve data quality issues, and support application stability and reliability.

d. Collaborate with business partners, data consumers, architects, and support teams to deliver enhancements and modernization initiatives.

e. Participate in platform modernization efforts, including automation, AI-assisted development, and future distributed data technologies.

Candidates with:

- Strong Oracle SQL development and data analysis skills.

- Informatica Power Center (or comparable enterprise ETL platform) experience.

- Experience supporting data warehouse, ETL, or data integration applications.

- Production support and troubleshooting experience.

- Linux/Unix experience.

- Data lineage, impact analysis, and root-cause analysis experience.

- Experience performing data validation, reconciliation, and testing.

- Strong communication and problem-solving skills.

PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

** Job Description*
* + Develops, supports and implements data services for multiple applications to meet business objectives and user requirements. Uses technical knowledge and industry experience to design, build and maintain technology solutions.

+ Works closely with users, developers, operations and business partners to define data service requirements and the data preparation process development.

+ Designs and builds data service infrastructure on multiple data platforms, according to key business processes and the overall workflow.

+ Develops and implements data solutions for multiple applications to ensure its scalability, availability and maintainability.

+ Implements data migration and transformation activities/processes to ensure the accuracy and security of data solutions.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

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** Customer Focused**  - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.

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** Managing Risk**  - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

** Qualifications*
* Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

** Preferred Skills*
* Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, ETL (Informatica), Linux, Machine Learning (ML), Oracle Database, Structured Query Language (SQL)

** Competencies*
* Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Data Analysis - Software, Data Architecture, Database Structures, Effective Communications, Problem Solving, Software Development Life Cycle

** Work Experience*
* Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of…