Job Description

Make banking a Fifth Third better

We connect great people to great opportunities. Are you ready to take the next step? Discover a career in banking at Fifth Third Bank.

As a Data Engineer within the Enterprise Data Office, you will practice the entire spectrum of Data Engineering, including development, data analysis, architecture design, and the implementation of data management practices. This position will include working across a wide variety of subject domains, covering deposits, loans, investments, customer data, and many other financial instruments. The ideal candidate will have experience in Financial Services or a similar industry, and must be comfortable diving into new data domains, and independently learning complex technical systems. Relevant experience includes ETL and data movement technologies (such as DataStage, Nifi, and Kafka), extensive understanding of RDBMS systems (DB2 or other), expert abilities in SQL, a solid understanding of Data Warehousing concepts and dimensional modeling, data profiling, and relevant experience in AWS and Snowflake. Any additional exposure to data interaction tools (Business Objects, Tableau, SAS, DataIku), Alation, Denodo, and Mainframe JCL would also be beneficial. The ideal candidate will possess a strong data analytics background, and have a passion for digging into data and self-initiated learning. This position will be a solid fit for a candidate who enjoys working outside of the box, always asks why, is continually seeking to learn new lines of business and technology, and proactively builds partnerships across the organization.

GENERAL FUNCTION:

The data engineer designs and builds platforms, tools, and solutions that help the bank manage, secure, and generate value from its data. The person in this role creates scalable and reusable solutions for gathering, collecting, storing, processing, and serving data on both small and very large (i.e. Big Data) scales. These solutions can include on-premise and cloud-based data platforms, and solutions in any of the following domains ETL, business intelligence, analytics, persistence (relational, NoSQL, data lakes), search, messaging, data warehousing, stream processing, and machine learning.

Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues, and ensures that actions and behaviors drive a positive customer experience. While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

- Responsible for design, Development, and Support of data solutions, APIs, tools, and processes to enable rapid delivery of business capabilities.
- Work closely with IT application teams, Enterprise architecture, infrastructure, information security, and LOB stakeholders to translate business and technical strategies into data-driven solutions for the Bank.
- Act as a technical Expert addressing problems related to system and application design, performance, integration, security, etc.
- Conduct research and Development based on current trends and technologies related to the banking industry, data engineering and architecture, data security, and related topics.
- Work with developers to Build CI/CD pipelines, Self-service Build tools, and automated deployment processes.
- Evaluate software products and Provide documented recommendations as needed.
- Provide Support and troubleshooting for data platforms. Must be willing to Provide escalated on-call Support for complicated and/or critical incidents.
- Participate in the planning process for hardware and software.
- Plan and work on internal projects as needed, including legacy system replacement, Monitoring and analytics improvements, tool Development, and technical documentation.
- Provide technical guidance and mentoring for other team members.
- Manage and prioritize multiple assignments.

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:

- Bachelor's degree in Computer Science/Information Systems or equivalent combination of education and experience.
- Must be able to communicate ideas both verbally and in writing to management, business and IT sponsors, and technical resources in language that is appropriate for each group.
- At least 6 years of related experience, including at least 4 years in a hands-on software development role.
- Significant experience with at least one major RDBMS product.
Experience working with and supporting Unix/Linux and Windows systems.
- Proficient in relational database modeling concepts and techniques.
- Solid conceptual understanding of distributed computing principles.
- Working knowledge of application and data security concepts, best practices, and common vulnerabilities.
- Experience in one or more of the following disciplines preferred: big data technologies and distributions, metadata management products, commercial ETL tools, Bi and reporting tools, messaging systems, data warehousing, Java (language and run time environment), major version control systems, continuous integration/delivery tools, infrastructure automation and virtualization tools, major cloud, or rest API design and development.
- Previous experience working with offshore teams desired.
- Financial industry experience is a plus.

Lead Data Engineer - Enterprise Data

LOCATION -- Cincinnati, Ohio 45263

Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.