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.

3+ years of relevant / direct industry experience
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
Bachelors

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

Quality Assurance Lead – Data and Automation, Enterprise Data Analytics, SQL, HQL, Python, AWS, JIRA, ETL

Key skills