Job Description Summary
**PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position**Key responsibilities –
- Design, Develop and maintain scalable and efficient data pipelines and ETL processes
- Collaborate with analysts and stakeholders to gather requirements and implement data solutions that meet business needs
- Proposes & designs data solutions to address complex business needs. Prepares technical and procedural documentation required.
- Participates in code reviews & testing- Develop and manage data integrations between various systems , ensuring seamless data flow and consistency
- Optimize database and query performance to support analytical workloads
- Monitor and troubleshoot data workflows to ensuring data quality and integrity at all times
- Stay current with industry trends, technologies and best practices to continuously improve our data ecosystem
- Experience with data pipelines and ETL - informatica
- Experience in SQL and database management systems
- Knowledge of data modelling , warehousing concepts , and ETL processes
- Experience with big data technologies and frameworks such as Hadoop, Hive, Spark. Programming experience in Python or Scala.
- Demonstrated analytical and problem-solving skills.
- Familiarity with cloud platforms (e.g Azure , AWS ) and their data related services
- Proactive and detail oriented professional with strong sense of ownership
- Creative problem solver who can tackle complex data challenges
- Ability to work in agile environment. Experience with effectively prioritizing and executing tasks in a high-pressure environment successfully
- Experience code deployment tools such as Udeploy, Artifactory, GitHub
Job Description- Develops, supports and implements data services for multiple applications to meet business objectives and user requirements. Uses technical knowledge and industry experience to design, build and maintain technology solutions.
- 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.
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.
QualificationsSuccessful 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 3+ years of relevant / direct industry experience. Certifications are often desired. 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)
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
California ResidentsRefer to the