Data Engineer Sr

PNC•Pittsburgh, PA

3d•$91,000 - $202,800•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(n) Senior Data Engineer within PNC's Business Analytics organization, you will be based in Pittsburgh, PA, Dallas, TX, Phoenix, AZ, Birmingham, AL or Cleveland, OH. As a Senior Data Engineer at PNC you will have the following responsibilities: 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 - Applies modern principles, methodologies, and tools to advance business initiatives and capabilities. - 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 Skills- - 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 - Mentor who can guide junior engineers and contributes to team growth - Excellent problem solving communication and collaboration skills - Ability to work in agile environment. Experience with effectively prioritizing and executing tasks in a high-pressure environment successfully - Experience in Spark, Big Data, ETL and Python PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. 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.

Requirements

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
Mentor who can guide junior engineers and contributes to team growth
Excellent problem solving communication and collaboration skills
Ability to work in agile environment. Experience with effectively prioritizing and executing tasks in a high-pressure environment successfully
Experience in Spark, Big Data, ETL and Python
University / college degree, with 5+ years of industry-relevant experience. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
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.

Nice To Haves

Analytical Thinking
Competitive Advantages
Data Analytics
Data Mining
Data Science
Machine Learning (ML)
Python (Programming Language)
Spark SQL
Structured Query Language (SQL)

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
Applies modern principles, methodologies, and tools to advance business initiatives and capabilities.
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
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