Apply on Employer Site

PNC · 2 months ago

Software Engineer Principal - Data Solution Implementation (Hadoop)

Strongsville, OH

Full-time

Onsite

Senior Level, Lead/Staff

$65K/yr - $166K/yr

5+ years exp

PNC is a leading financial services company focused on providing excellent customer experiences and fostering an inclusive workplace. The Software Engineer Principal role involves designing and implementing data solutions, collaborating with cross-functional teams, and ensuring data quality and governance using advanced technologies.

BankingFinanceFinancial Services

No H1B

Responsibilities

Designing, building, and maintaining scalable data pipelines using cloud platforms and big data technologies

Developing and optimizing data warehousing solutions to ensure high availability and performance

Implementing data modeling techniques to support analytics and reporting needs

Ensuring data quality, governance, and compliance across all data processes

Collaborating with business analysts, data scientists, and other stakeholders to understand requirements and deliver data solutions

Leveraging cloud platforms (e.g., AWS, Azure, Google Cloud) and big data frameworks (e.g., Hadoop, Spark, Kafka) to build robust data architectures

Utilizing DevOps practices and CI/CD tools to automate and streamline data workflows

Monitoring and maintain data systems, implementing alerting mechanisms to ensure reliability

Participating in Agile/SAFe ceremonies, including sprint planning, stand-ups, and retrospectives

Qualification

Cloud platformsBig data technologiesData warehousingETL processesProgramming languagesData governanceDevOps toolsAgile/SAFeMonitoring toolsData modelingApache AirflowMainframe technologiesCOBOLProblem-solvingCommunication skillsCollaboration skills

Required

Proven expertise in cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark, Kafka, Flink)

Experience with data governance, quality management, and compliance

Proficiency in programming languages such as PySpark, Scala, SQL, and Java

Strong experience with ETL processes, data modeling, and data warehousing

Familiarity with DevOps tools and CI/CD workflows (e.g., Git, Jenkins, Docker, Kubernetes)

Knowledge of monitoring and alerting tools for data systems

Experience with mainframe technologies and COBOL is a plus

Strong problem-solving and analytical skills, with a focus on delivering high-quality solutions

Excellent communication and collaboration skills to work effectively with cross-functional teams

Ability to thrive in a fast-paced, Agile/SAFe environment

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, job specific certification(s), and experience (including military service) may be considered

Bachelors