Data Engineer Sr - ETL/Warehousing/Modeling

Job Profile

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 Sr within PNC’s Technology organization, you will be based in Pittsburgh, PA; Cleveland, OH; Birmingham, AL or Dallas, TX. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager’s discretion.
We are seeking a highly skilled Senior Data Engineer who can demonstrate strong understanding of ETL, Database architecture and design, provide strategies to build scalable data systems, optimizing data pipelines and enabling data driven decision making. The ideal candidate will have at least 5 -7+ years of experience with data warehousing architecture and ETL.
Key responsibilities –
- Design, Develop and maintain robust scalable and efficient data pipelines
and ETL processes
- Build and optimize data architectures ensuring high performance ,
reliability and security
- Collaborate with analysts and stakeholders to gather requirements and
implement data solutions that meet business needs
- Proposes & designs data solutions to address complex business needs.
- Prepares technical and procedural documentation required.
- Participates in code reviews & testing
- Applies modern principles, methodologies, and tools to advance business initiatives and capabilities.
- Develop and manage data integrations between various systems , ensuring seamless data flow and consistency
- Optimize database and query performance to support analytical workloads
- Monitor and troubleshoot data workflows to ensuring data quality and integrity at all times
- Stay current with industry trends, technologies and best practices to continuously improve our data ecosystem
Skills-
- Expertise with data pipelines and ETL -informatica
- Expertise in SQL and database management systems
- Strong Knowledge of data modelling , warehousing concepts , and ETL
processes
- Experience with big data technologies and frameworks such as Hadoop,
Hive, Spark. Programming experience in Python or Scala.
- Demonstrated analytical and problem-solving skills.
- Familiarity with cloud platforms (e.g Azure , AWS ) and their data related
services
- 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
- Excellent problem solving communication and collaboration skills
- Ability to work in agile environment. Experience with effectively prioritizing
and executing tasks in a high-pressure environment successfully
- Proficient with code deployment tools such as Udeploy, Artifactory, GitHub
Note: The position will be about 80% hands on data engineering and 20% innovation. Display an innovative approach to apply modern principles, methodologies, and tools to advance technology solution capabilities.
Competencies – Strong ETL, Data Architecture, Database Structures, Data Warehousing, Logical Data Modeling, Problem Solving, Requirements Analysis

Job Description

• Leads in developing, supporting and implementing data solutions for multiple applications in order to meet business objectives and user requirements. Leverages technical knowledge and industry experience to design, build and maintain technology solutions.
• Leads data requirement analysis and the data preparation process development for targeted data solutions.
• Leads in designing and building data service infrastructure on multiple data platforms, according the workflow.
• Oversees the development and implementation of data solutions for multiple applications to ensure its scalability, availability and maintainability.
• Consults on data migration and transformation 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:

• 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 certifications/licensures needed to be successful in this position.

Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning

CompetenciesApplication Delivery Process, Big Data Management and Analytics, Business Intelligence, Consulting, Data Analysis - Software, Data Architecture, Database Structures, Problem Solving, Software Development Life Cycle

Work ExperienceRoles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

EducationBachelors

CertificationsNo Required Certification(s)

LicensesNo Required License(s)

Benefits

PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: 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; a robust wellness program with financial incentives.

In addition, PNC generally provides the following paid time off, depending on your eligibility*: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visit pncbenefits.com > New to PNC.

*For more information, please click on the following links:

Time Away from Work

PNC Full-Time Benefits Summary

PNC Part-Time Benefits Summary

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at [email protected]. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

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