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 Senior within PNC's Enterprise Information Management (EIM) organization, you will be based in Pittsburgh, Cleveland, Dallas, Phoenix, or Birmingham.

1. Big Data Technologies: Familiarity with big data tools like Amazon SageMaker, EMR Serverless, Athena, QuickSight, and Glue for processing large datasets.
- Data Storage Fundamentals: A solid understanding of various data storage options, including Amazon S3, EBS, EFS.
- Database Design and Optimization: Proficiency in designing efficient database schemas, indexing strategies, and query optimization.
-Security and Compliance:
-Data Encryption: Knowledge of encryption mechanisms for data at rest and in transit.
-Access Control: Implementing fine-grained access controls using IAM.
-Bucket Policy: Implementing Secure S3 in combination with IAM Policy
-Compliance: Ensuring data compliance with industry standards (e.g., GDPR, HIPAA).
3. Software Engineering:
-Experience with CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or AWS CodePipeline.
-Experience building AWS Apps using, AWS Step Functions, Lambda, SNS, Event Bridge
-Cloud Platforms and Services: Strong knowledge of Amazon Web Services (AWS) services and how they work together.
- Infrastructure as Code (IaC): Proficiency in using IaC tools such as Terraform, CloudFormation, and Ansible.
- Scripting and Programming Languages: Proficiency in scripting languages such as Python, Bash, or Ruby.
- Containerization and Orchestration: Familiarity with Docker, ECR and Kubernetes. Ability to manage containerized applications.
4. Soft Skills:
- Communication: Effective communication with stakeholders, data engineers, and business users.
- Problem-Solving: Analytical thinking to address complex data challenges.
- Collaboration: Work seamlessly with cross-functional teams.

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

Job Description

• Designs, develops and optimizes highly complex, specialized data warehouses, with flexible and scalable data and ETL architecture, to support business users and Business Intelligence (BI) applications.
• Analyzes business intelligence data and makes recommendations for data warehouse growth and integration for the enterprise.
• Works with IT and business customers to develop requirements for designing the overall data warehouse architecture.
• Provides support and technical guidance to ensure architecture and framework are aligned with BI application needs. .
• Leads and consults on the implementation and integration of data warehouses; ensures data is current and meets organizational quality and integrity standards.

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

• 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.
• 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