Data Engineer Sr

PNC Financial Services   •  

Pittsburgh, PA

Industry: Accounting, Finance & Insurance

  •  

5 - 7 years

Posted 177 days ago

This job is no longer available.

Position Overview


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.

As a Data Engineer Senior (Hadoop) within PNC's Staff Services Technology organization, you will be based in Pittsburgh, PA, Cleveland and Columbus, OH.

The Data Engineer Senior role has an emphasis on leading the creation and management of data processes. This role will work with Information Scientists, technology platform owners, and other Data Engineers to build processes that extract, transform, and load data into hosted platforms. The role will also work with Data Scientists from the LOB team to explore ways of working with the data.

Preferred experience:
Hadoop,
PySpark,
HBase,
Hive,
Impala,
 otherbig data applications.

Position City

PA - Pittsburgh

Building Location

PA374 - Two PNC Plaza

Job Type

Regular

Job Profile

  • Develops, supports and implements data services for multiple applications to meet business objectives and user requirements.
  • Works closely with users, developers, operations and business partners to define data service requirements and the data preparation process development.
  • Designs and builds data service infrastructure on multiple data platforms, according to key business processes and the overall workflow.
  • Develops and implements data solutions for multiple applications to ensure its scalability, availability and maintainability.
  • Implements data migration and transformation activities/processes to ensure the accuracy and security of data solutions.

 

 

Core Competencies

Manages Risk -  Working Experience

  • Assesses and effectively manages all of the risks associated with their business objectives and activities to ensure activities are in alignment with the bank's and unit's risk appetite and risk management framework.

Customer Focus -  Extensive Experience

  • Knowledge of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions, and ability to leverage that information in creating customized customer solutions.

 

Job Specific Competencies

Big Data Management and Analytics -  Extensive Experience

  • Knowledge and ability to plan and execute, big data management and analytics.

APPLICATION DELIVERY PROCESS -  Extensive Experience

  • Knowledge of major tasks, deliverables, and formal application delivery methodologies; ability to utilize these in order to deliver new or enhanced applications.

Business Intelligence -  Extensive Experience

  • Knowledge of and ability to utilize business processes and technologies for gathering, storing, analyzing, and providing access to data that helps the organization make better business decisions.

Data Analysis - Software -  Extensive Experience

  • Knowledge of the investigation, evaluation, interpretation, and classification of data; the ability to identify, collect and analyze data to facilitate the development, implementation and application of software systems.

Data Architecture -  Working Experience

  • Knowledge and ability to create models and standards to govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations.

Database Structures -  Extensive Experience

  • Knowledge of and the ability to utilize appropriate database structures to organize and store data in a particular manner.

Problem Solving -  Extensive Experience

  • Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply this knowledge appropriately to diverse situations.

Software Development Life Cycle -  Subject Matter Expertise

  • Knowledge of and experience with using a structured methodology for delivering new or enhanced software products to the marketplace.

Consulting -  Extensive Experience

  • Knowledge of techniques, roles, and responsibilities in providing technical or business guidance to clients, both internal and external; ability to apply this knowledge appropriately to diverse situations.

 

Preferences/Skills

Preferredexperience:
Hadoop,
PySpark,
HBase,
Hive,
Impala,
 otherbig data applications.

Required Education and Experience


Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education and experience (including military service) may be considered.

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