PNC Data Engineer Senior - Capital Markets Technology 

United States, Texas, Farmers Branch 

936269057

Responsibilities of the role include:
priorities and vision.
-Come up with creatives to use Capital Markets data in support of maximizing
revenue, minimizing operational cost, and increasing regulatory compliance.
-Be an expert in building Capital Markets Data Lake, from building pipelines for
consumption all the way up to consumption layer.
-Champion Capital Markets data analytical needs and automate manual
process thru data automation.'
-Experience with Oracle database, MongoDB and Hadoop Big Data platforms
-Python development experience-Financial Industry background preferred.Job Description

• 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.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and requiredneeded to be successful in this position.

Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine LearningRoles 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, job specific certification(s), and experience (including military service) may be considered.No Required Certification(s)No Required License(s)
California Residents

Refer to the