Python, AWS, JIRA, ETL)

PNC Bank•Pittsburgh, PA

18h•Onsite

About The Position

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 Quality Assurance Lead within PNC's Enterprise Data Analytics organization, you will be based in Pittsburgh, PA or Cleveland, OH. Experience in the development of data warehouse test strategies, test plans, and test cases—what they are and how to develop them, specifically for data warehouses and decision-support systems. Strong knowledge in Hadoop, HQL/SQL, PySpark, RDBMS, AWS, Data Warehouse testing is desired. Python and/ or data development knowledge is a PLUS. Must be able to review quality of data entry (Data Quality), data loads, transformations, extractions, and merges loaded by the ETLs/jobs from the legacy (mainframes is a plus) systems into the relational database system(s). Experience in working with large scale Enterprise Data Warehouse, Data Integration, Data Migration and upgrade projects. Strong experience on GIT, JIRA, Jenkins. Good understanding of HTTP, JSON protocol and API. 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.

Requirements

Experience in the development of data warehouse test strategies, test plans, and test cases—what they are and how to develop them, specifically for data warehouses and decision-support systems.
Strong knowledge in Hadoop, HQL/SQL, PySpark, RDBMS, AWS, Data Warehouse testing is desired.
Must be able to review quality of data entry (Data Quality), data loads, transformations, extractions, and merges loaded by the ETLs/jobs from the legacy (mainframes is a plus) systems into the relational database system(s).
Experience in working with large scale Enterprise Data Warehouse, Data Integration, Data Migration and upgrade projects.
Strong experience on GIT, JIRA, Jenkins.
Good understanding of HTTP, JSON protocol and API.
University / college degree, with 3+ years of relevant / direct industry experience.
Bachelors degree.

Nice To Haves

Python and/ or data development knowledge is a PLUS
mainframes is a plus

Responsibilities

Operating in a global delivery model, brings strategic direction to testing and acts as the subject matter expert for both the quality discipline and a line of business domain(s).
Leads the review of testing artifacts throughout the product life-cycle to ensure appropriate sign off and prioritization of testing work.
Including coordinating test strategy, scripting and defect resolution.
Including ensuring early engagement with internal partners and proactive planning to ensure quality is a core area of focus early in the product lifecycle.
Take accountability for quality standards in the development, implementation and upkeep test scripts and opportunities for automation of testing products.
Developing meaningful management metrics that help to gauge project health.
Identify trends and opportunities for continuous improvement in product release.

Benefits

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
maternity and/or parental leave
up to 11 paid holidays each year
9 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.