Lead Data Engineer

Posted 9 Days Ago
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Cincinnati, OH
Mid level
Fintech
The Role
The ETL Engineer designs and builds scalable data platforms and solutions for banking. Responsibilities include developing data solutions and APIs, collaborating with IT teams, mentoring others, and ensuring data security. The role requires strong technical expertise in data engineering and management while adhering to the bank's risk policies.
Summary Generated by Built In

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As a Lead Data Engineer within the Enterprise Data Office, you will help build and support Fifth Third’s Regulatory Reporting ecosystem. This involves analyzing data as it flows through the Bancorp's systems, designing data solutions, and authoring ETL to implement those designs. The data within the Bancorp's Warehousing solutions is extensively used to support virtually every Line of Business, and is a critical component of all major initiatives. Primary technologies include DB2, DataStage, Nifi, and Adenza Controllerview; the ideal candidate will be team-oriented, possess a strong ETL background with extensive experience with an RDBMS, and have a passion for digging into data and self-initiated 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.

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.

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.
- 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.
- Experience in Regulatory Reporting with Adenza Controllerview required

Lead Data EngineerLOCATION -- Cincinnati, Ohio 45202

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.

Top Skills

Analytics
Business Intelligence
Cloud
Continuous Integration
Data Lakes
Data Warehousing
ETL
Java
Linux
Machine Learning
NoSQL
Relational Databases
Rest Api
Stream Processing
Unix
Version Control Systems
Windows
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The Company
Cincinnati, OH
20,258 Employees
On-site Workplace

What We Do

At Fifth Third Bank, we are always listening to new ideas so that we can strengthen our commitment to you and the communities we serve.

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