Cloud Data Engineer III
Atlanta, Georgia, United States
Shift4
Shift4 is the leader in secure payment processing solutions, including point-to-point encryption, tokenization, EMV technology and point-of-sale (POS) systems.Overview
Shift4 (NYSE: FOUR) is boldly redefining commerce by simplifying complex payments ecosystems across the world. As the leader in commerce-enabling technology, Shift4 powers billions of transactions annually for hundreds of thousands of businesses in virtually every industry. For more information, visit www.shift4.com.
Senior Cloud Data Engineer
Overview:
Shift4 is expanding globally and building up our technical teams! We are seeking a Senior Cloud Data Engineer that will contribute to the technology, architecture and engineering delivery across an AWS Cloud Data Services team. This role requires prior experience as a Senior Cloud Data Engineer. We are looking for individuals that are extremely self-sufficient, available to work flexible hours and hold themselves to the highest standards of professionalism.
This role is an onsite / hybrid role based at any of the Shift4 core locations: Center Valley, PA (HQ), Las Vegas, NV, Tampa, FL, Morrisville, NC, and Atlanta, GA. Relocation assistance may be available.
Responsibilities:
- Participate as a key team member within a high velocity agile engineering team.
- Work hands on within the cloud data platform to deliver new features, fix issues and ensure best practices.
- Contribute to the technical design and architecture development for parts of the solution.
- Ensure that best practices are defined and adhered to. Diagnose and resolve issues with deployed systems (as a part of level 3 support).
- Become a technical expert for the cloud data platform.
- Evaluate and resolve technical debt, engage in platform modernization and build reliable features. Recommend and implement best practices and standards for the cloud data platforms.
People and Leadership:
- Work very closely with the multiple engineering teams, product owners and stakeholders to understand needs and meet data requirements.
- Interface across multiple engineering teams and engineering groups working on various parts of the platform.
- Mentor and develop junior team members.
- Analyze and update tools and processes when required. Measure key team metrics.
Requirements:
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- 5+ years as a Cloud Data Engineer.
- 5+ years working with AWS services including Redshift, AWS Glue, Lambda., etc.
- 5+ years working in an Agile development environment, hands-on experience with Jira and Confluence.
- 4+ years working with ETL tools (MS SSIS or similar).
- 4+ years of experience with source control (GitLab).
- Significant hands-on experience working with databases. schemas, complex queries, data modeling, stored procedures, etc. (MS SQL Server and Redshift preferred).
- Excellent communication skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS AWS Glue Computer Science Confluence Engineering ETL GitLab Jira Lambda MS SQL Redshift SQL SSIS
Perks/benefits: Flex hours Relocation support
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