Informatica Developer
On-sitePittsburgh, Pennsylvania, United States
Job Summary
Develop and maintain data services for multiple applications by designing, building, and optimizing large-scale ETL pipelines using Informatica, SQL, and PL/SQL. Implement data migration and transformation activities to ensure accuracy, security, and scalability of financial datasets across cloud and on-premise platforms. Collaborate with finance stakeholders to define requirements, analyze solution scope, and prepare technical specifications for proposed data architectures. Participate in code reviews, testing, and documentation while mentoring junior engineers to support team growth. This onsite role in Pittsburgh requires 3+ years of experience and is open to candidates with a university degree or equivalent certification.
Required Qualifications
- Strong experience in data engineering and ETL development
- Strong experience with Informatica (PowerCenter and/or Informatica Cloud/IICS)
- Advanced SQL, PL/SQL skills and experience with large-scale data transformations
- Experience with data warehousing platforms (e.g. SQL Server, Oracle, Teradata )
- Writing and optimizing code for data pipelines to ensure systems are highly efficient, scalable, and capable of handling large-scale financial datasets
- Proficient with code deployment tools such as Udeploy, Artifactory
- Experience with cloud data platforms (Azure, AWS, or GCP)
- Knowledge of financial and cost data, preferably Activity Based Costing
- Experience with data quality, reconciliation, and performance optimization
- Collaborate with Finance Product owners, analysts to gather requirements and implement data solutions that meet business needs
- Analyzes and evaluates requirements by working with users, product owners and management and provides recommendations on the scope and complexity of the solution
- Proactive and detail-oriented professional with strong sense of ownership
- Creative problem solver who can tackle complex data challenges
- Mentor who can guide junior engineers and contributes to team growth
- Build and optimize data architectures ensuring high performance, reliability, and security
- Proposes & designs data solutions to address complex business needs
- Prepares technical and procedural documentation required
- Acts as a lead by developing and documenting technical specifications for proposed solutions
- This includes hands-on coding and testing as well to support solutions
- Participates in code reviews & overall testing
- Excellent problem-solving and collaboration skills
- Familiarity with Agile/Scrum development environments
- Strong collaboration and communication skills for working with finance and business stakeholders
- Excellent communication skills, with the ability to present insights to both technical and non technical audiences
- Strong ownership mindset and accountability for deliverables end to end
- Demonstrated ability to influence stakeholders and recommend data driven solutions
- Collaborative team player who can also work independently with minimal oversight
- Mentorship mindset—able to guide junior analysts and review analytical work
- Roles at this level typically require a university / college degree
- 3+ years of relevant / direct industry experience
- Must be based in Pittsburgh PA
- PNC is an in-office company
Desired Qualifications
- Master's degree, English major preferred
- Certifications are often desired
- In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered
- Analytical Thinking
- Competitive Advantages
- Data Analytics
- Data Mining
- Data Science
- Machine Learning (ML)
- 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
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