Assists in developing, supporting and implementing data solutions for multiple applications
Leverages technical knowledge and industry experience to design, build and maintain technology solutions
Performs data requirement analysis and the data preparation process development for targeted data solutions
Assists in designing and building data service infrastructure on multiple data platforms
Consults on data migration and transformation to ensure accuracy and security of data solutions

Requirements

Hands on experience with PySpark and Hadoop ecosystems
Strong SQL skills with the ability to understand business logic, write optimized queries, and work with large analytical datasets in Hive/Impala
Experience building and supporting data ingestion and transformation pipelines
Familiarity with agile delivery models
Working knowledge of data governance and tooling

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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PySparkHadoopSQLHiveImpaladata ingestiondata transformationdata preparationdata migrationdata service infrastructure

Soft Skills

technical knowledgeindustry experienceconsultingproblem-solvingcommunication