About the position
Responsibilities
• Act as an internal consultant for other data engineering and technical teams to enhance and optimize the quality of their code, ensuring adherence to engineering best practices. • Proven data literacy skills to describe business outcomes, data uses, data sources, and their management concepts and analytical approaches to all organizational levels in both business and technology. • Demonstrate initiative to develop approaches to solutions as part of a team; Review architecture and identify areas for automation, optimization, right-sizing, and cost reduction to support health of the environment.
• Design, build and test data integration processes between business-critical applications to solve complex problems within financial services. • Define and implement internal process improvements through the development of detailed analytics that provide actionable insights into key business performance metrics
• Designs, develops and optimizes data warehouses, with flexible and scalable data and ETL architecture, to support business users and Business Intelligence (BI) applications. • Analyzes business intelligence data and makes recommendations for data warehouse growth and integration an application/business function.
• Works with IT and business customers to capture requirements for designing the data warehouse architecture. • Provides support and technical guidance to ensure the solutions are aligned with the architecture and framework. • Leads and consults on the implementation and integration of data warehouses; ensures the solution meets organizational quality and integrity standards. Requirements
• Extensive experience with big data technologies and distributed computing tools (Hadoop, Spark, Hive Kafka, etc.)
• Strong proficiency in relevant programming languages such as Python, PySpark, Spark, SQL
• Proficient in Containerization (OpenShift, Kubernetes, Docker, etc.)
• Experience with public cloud platforms - Apache Ice-burg and AWS - S3
• Knowledge of Unix/Linux shell scripting
• 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. Nice-to-haves
• Competitive Advantages
• Customer Solutions
• Design
• Enterprise Architecture Framework
• Machine Learning
• Risk Assessments
• Technical Knowledge
Benefits
• PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: 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.
• In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 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.
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