Job Listings

Jobs (78014)

Analytical Linguistic Project Manager [Brazilian Portuguese]
NLP PEOPLE United States
Quantitative Developer
Caxton Associates London, UK
Cloud DBA / Data Engineer – Financial Markets
Alexander Ash Consulting London, UK
Software Architect (ETL, Oracle Data Integrator, XML, Oracle 11g, Criminal Justice processing)
MVP Consulting Elsmere, NY
Data Expert (Big Data/EDW/Hadoop/SAS/ETL/Teradata/SQL)
PNC Pittsburgh, PA
ETL QA Tester - 100% REMOTE, Must Work EST Hours
TEKsystems Charlotte, NC
BI ETL Developer - Intermediate
Aaron's Family of Companies Atlanta, GA
Software Quant Engineer
OTS Capital London, UK
Lead Data Engineer
Venn Group London, UK
Data Platform Engineer (Azure)
Morgan McKinley London, UK
Senior DevOps Engineer
Alexander Ash Consulting London, UK
Senior Quant Developer, Quantitative Investment Strategies Team – Asset Management
Octavius Finance London, UK
Optimization engineer
VirtualVocations Boca Raton, FL
Customization and Optimization of Cargo.Site for Video Portfolio
Upwork Anywhere
Enterprise Architect - Conversational AI
McGregor Boyall London, UK
Senior AI Platform Engineer
London Stock Exchange Group Nottingham, Nottinghamshire
AI Platform Engineer
London Stock Exchange Group Nottingham, Nottinghamshire
AI Data Architect
Harnham - Data & Analytics Recruitment Manchester
Director of Artificial Intelligence & Machine Learning
Jam Management Consultancy ltd Greater London
Generative AI and Cyber Resilience Developer - KTP Associate
Aston University Birmingham

Data Expert (Big Data/EDW/Hadoop/SAS/ETL/Teradata/SQL)

PNC

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 Analyst 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.

As part of the PNC’s Enterprise Data Management organization, the Data Expert will be a member of the Enterprise Data Ingestion and Integration team whose mission is to bridge the gap between Business and Technology to facilitate the alignment, completeness and coverage of release management, requirements management, change management, access management, and production services, for the applications we are the business owners for as well as the capabilities and services we provide to the enterprise.

In this role, the Data Expert candidate will support EDM for Transactional Data Hub (TDH) as well as Enterprise Initiatives. The successful candidate will possess a deep understanding of PNC's Enterprise ecosystem, including both Enterprise Data Warehouse (EDW) and Big Data Hub (BDH).

Candidates must have strong written and verbal communication skills and must be able to facilitate and coordinate activities across teams; strong business process and data analysis skills; experience in understanding source to target mapping, data flow diagrams, user guides, and other supplementary product documentation; the ability to manage risk effectively and efficiently; a proven track record for delivering high quality, timely solutions to customers.

Core responsibilities include:
• Provide support to management, line of business users, data scientists, data engineers, and analysts for Enterprise Initiatives.
• Perform analysis, mapping, and validation of transaction data.
• Data requirement tracking from creation through to testing for successful ingest/integration of new data related to Enterprise Initiatives.
• Documenting impacts to Enterprise Ecosystem related to new or changing data.
Communicating impacts to downstream applications. This includes leading meetings and documenting results and providing impact assessments.
• Providing support to downstream users to obtain downstream user readiness acceptance and sign-off.

Preferred skills and experiences:
• Experience with understanding downstream impacts for Enterprise Data Warehouse changes.
Understanding of UDV testing, including data needs and testing requirements.
• Knowledge of EDM ecosystem, enterprise data consumption strategy, guidelines, and policies.
• Experienced in one or more programming languages such as SQL, SAS, or other software for data extraction, and aggregation.
• Experience with ETL tools, data warehouses, Hadoop, Teradata, and Oracle.

Job Description
• Manages and develops information systems for clients; conducts data information analysis for a variety of studies under the direction of organizational standards. Develops strategies for data implementation, data acquisition, and archive recovery.
• Helps advise business, applications and operations counterparts to ensure data integrity and availability.
• Structures the environment and creates logical storage units especially for size and physical locations, to map database elements into logical units.
• Implements and supports technologies for managing and effectively utilizing multiple information sources, formats and uses. Resolves data integration and security issues for adherence to the organization's quality standards.
• Researches customers needs, conducts awareness and promotional sessions for potential customers.

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 Skills
Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning

Competencies
Application Design, Archite

Location: Pittsburgh, PA

Posted: Aug. 16, 2024, 8:12 a.m.

Apply Now Company Website