Data Engineering Lead

US GA ATL 201, Estados Unidos

FIS

FIS is fintech for bold ideas. FIS is behind the financial technology that transforms how we live, work and play.

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Job Description

About FIS

We are FIS. Our technology powers the world’s economy and our teams bring innovation to life. We champion diversity to deliver the best products and solutions for our colleagues, clients and communities. If you’re ready to start learning, growing and making an impact with a career in fintech, we’d like to know: Are you FIS?

About the team

We in Digital Enablement strive to provide the best capabilities and guidance for our team members, clients and consumers of our platforms and products. With that in mind, creating innovative and competitive solutions to drive the strategic vision of the company’s digital product offerings is critical to our success. Data and analytics processes drive many of those same capabilities to perform and guide future strategic directions, are you up for the challenge?

What you will be doing

The Data Engineering Lead will play a critical role in driving innovation and growth for the Banking Solutions business. As a Data Engineering Lead, you will play a pivotal role in our Data and Analytics platform team to install and run our cutting-edge data and analytics platforms.

You will be responsible for implementing high-quality data solutions that meet our business objectives and exceed user expectations. Your technical expertise and strategic vision will drive the success of our Data and Analytics projects and contribute to the overall growth of our company.

  • Lead the development of robust and scalable Data and Analytics solutions, ensuring adherence to best practices and industry standards.

  • Implement high-quality codebase using cloud based DBaaS and application Technologies.

  • Work closely with product and engineering teams to provide data science and analytics expertise.

  • Collaborate closely with product managers, designers, and backend engineers to translate business requirements into technical solutions and drive product innovation.

  • Champion a culture of innovation, creativity, and excellence within the data platform team, fostering collaboration and a positive work environment.

  • Act as a subject matter expert on data and analytics topics, provide technical guidance to stakeholders, and contribute to technical documentation, governance routines and knowledge sharing efforts.

What you bring

  • Strong preference for work on technology transition from on premise RDBMS and NoSQL solutions to cloud-based data platforms on AWS.

  • Experience in developing complex, high-performance analytics applications with a focus on user experience, performance, and scalability; including standing up and running data and analytics tools such as Celebrus, Quantum Metrics, Tealium, etc.

  • Knowledge of modern software development practices such as Agile methodologies, continuous integration, test-driven development (TDD) and continuous improvement through measurement.

  • Familiarity with data modeling principles, design guidelines, and design techniques.

  • Demonstrated ability to innovate and leverage new technologies, tools, and techniques to solve complex technical challenges and improved development processes.

  • Proactive in identifying potential issues, proposing solutions, and driving continuous improvement in code quality, performance, and best practices.

  • Preferred degree in Engineering, Computer Science, or similar relevant field preferred with demonstrated project development and leadership skills.

Bonus if you have

  • Demonstrates judgment and flexibility; thinks about issues and develops solutions that thoughtfully take the broader context into account – positively deals with a shifting demand for time, priorities, and the rapid change of environments.

  • Takes an ownership approach to engineering and product outcomes by being an Action-oriented self-starter who can set strategy and drive execution with a “roll up the sleeves” approach.

  • Excellent interpersonal communication, negotiation and influencing skills to work effectively with all stakeholders (internal & external), making information-based decisions.

  • Penchant for excellence, both personally and professionally, demonstrated by intellectual curiosity, record of accomplishment, and reputation; shows strong attention to detail and implementation of best practices with an inclination for continuous improvement.

  • Ability to quickly establish strong credibility with employees, business partners and external resources.

What we offer you

  • A voice in the future of fintech.

  • Always-on learning and development.

  • Collaborative work environment.

  • Opportunities to give back.

  • Competitive salary and benefits.


Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

EEOC Statement

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here


For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile AWS Banking Computer Science Engineering FinTech NoSQL Privacy RDBMS Security TDD

Perks/benefits: Career development Competitive pay Startup environment

Region: North America
Country: United States

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