Fifth Third Bank, N.A. Lead Data Engineer - Data Analytics in Grand Rapids, Michigan
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As a Lead Data Engineer within the Enterprise Data Office, you will analyze and build solutions that support our Credit line of business. This will involve working directly with our stakeholders to understand their business needs, analyzing data within data warehouses and between various existing applications, modeling data, data mining, and architecting and implementing new data solutions. The ideal candidate will possess a strong background in Agile methodology, a passion for digging into complicated data flows and calculations, a solid ability to read and author SQL, and prior experience with an RDBMS.
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.
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.
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 - Data Analytics
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.
Fifth Third Bank, National Association is one of the top-performing banks in the country, with a history that spans more than 150 years. We’ve staked our claim on looking at things differently to make banking a Fifth Third better. This applies to our relationships with customers and employees alike.We employ about 18,000 people while offering:• A chance for employees to build their future, with supportive career development and comprehensive health and financial wellness programs.• An environment where we win together by celebrating achievements and working collaboratively.• An opportunity to make a difference in a positive and lasting way. Everything we do is geared toward improving lives.We’re proud that Fifth Third is a warm and caring place to grow – as a customer and as a team member.
Fifth Third Bank, N.A.
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