Data Engineer Senior - Data Products Organization (Cloudera Hadoop)

PNC Bank•Farmers Branch, TX

1d•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 Data Engineer Senior within PNC's Data Product Organization, you will be based in Pittsburgh-PA, Strongsville-OH, Dallas-TX, or Birmingham-AL. 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 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. 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.

Requirements

Proven data literacy skills to describe business outcomes, data uses, data sources, and their management concepts and analytical approaches to all organizational levels in both business and technology.
Demonstrate command of Hadoop, Spark 3m Python, Kafka, and complex orchestration.
Communication and lead experience over a group of data engineers.
Work independently within a fast-paced agile environment.
Spark/Pyspark
Cloudera Hadoop (HIVE, HQL, Impala, Beeline, HDFS)
Linux
Iceburg
Kafka streaming
CA7 orchestration
Data Engineer Lead Experience
Bachelors
5+ years of industry-relevant experience

Nice To Haves

Analytical Thinking
Competitive Advantages
Data Analytics
Data Mining
Data Science
Machine Learning (ML)
Application Delivery Process
Big Data Management and Analytics
Business Intelligence
Consulting
Data Analysis - Software
Data Architecture
Database Structures
Problem Solving
Software Development Life Cycle

Responsibilities

Act as an internal consultant for other data engineering and technical teams to enhance and optimize the quality of their code, ensuring adherence to engineering best practices.
Demonstrate initiative to develop approaches to solutions as part of a team; review architecture and identify areas for automation, optimization, right-sizing, and cost reduction to support health of the environment.
Design, build and test data integration processes between business-critical applications to solve complex problems within financial services.
Define and implement internal process improvements through the development of detailed analytics that provide actionable insights into key business performance metrics.
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 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.

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