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 to 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.

5+ years of industry-relevant experience
Extensive experience developing within a Cloudera Hadoop ecosystem (PySpark, Spark Streaming, Hive, Kafka, Impala)
Strong proficiency in relevant programming languages such as Python, Scala, SQL
Experience with Apache Flink
Proficient in Containerization (OpenShift, Kubernetes, Docker, etc.)
Knowledge of Unix/Linux bash shell scripting
CA7 Orchestration preferred
Endevor SCM preferred

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

Senior Data Engineer – Data Products, Hadoop, Big Data

Key skills