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AWS Cloud Data Engineer

Shift4 Payments
Full Timejunior
Atlanta, Georgia, United States; Center Valley, Pennsylvania, United States; Las Vegas, NV; Tampa, Florida, United StatesPosted Yesterday

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Job Description

<div class="content-intro"><h2 class="iCIMS_InfoMsg iCIMS_InfoField_Job"><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;">Overview</span></h2> <div class="iCIMS_InfoMsg iCIMS_InfoMsg_Job"> <div class="iCIMS_Expandable_Container"> <div class="iCIMS_Expandable_Text"> <p><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;"><strong>Shift4 (NYSE: FOUR)</strong>&nbsp;is boldly redefining commerce by simplifying complex payments ecosystems across the world.&nbsp;As the leader in commerce-enabling technology, Shift4 powers billions of transactions annually for&nbsp;hundreds of&nbsp;thousands of businesses in virtually&nbsp;every industry. For more information, visit&nbsp;<a href="http://www.shift4.com/" target="_blank">www.shift4.com</a>.</span></p> </div> </div> </div></div><p>&nbsp;</p> <p>As an AWS Cloud Data Engineer, you will be responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization’s data-driven initiatives. We seek self-driven and motivated individuals who take ownership of their projects. You will collaborate closely with cross-functional teams including project managers, business analysts, and software engineers to ensure the availability, reliability, and scalability of our system.</p> <p><em><strong>This role is onsite and can be based at any of the following Shift4 locations: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA</strong></em></p> <p><strong>Responsibilities</strong></p> <p><u>Technology:</u></p> <ul> <li>Work hands on within the cloud data platform to deliver new features, fix issues and ensure best practices.</li> <li>Contribute to the technical design and architecture development for parts of the solution. Ensure that best practices are defined and adhered to</li> <li>Diagnose and resolve issues with deployed systems (as part of level 3 support).</li> <li>Become technically solid for the cloud data platform.</li> <li>Evaluate and resolve technical debt, engage in platform modernization and build reliable features.</li> <li>Recommend and implement best practices and standards for the cloud data platforms.</li> </ul> <p><u>People and Leadership</u></p> <ul> <li>Work closely with multiple engineering teams, product owners and stakeholders to understand needs and meet data requirements.</li> <li>Interface across multiple engineering teams and engineering groups working on various parts of the platform.</li> <li>Mentor and develop junior team members.</li> </ul> <p><u>Process</u></p> <ul> <li>Ensure efficient operation of Scrum within the team.</li> <li>Analyze and update tools and processes when required.</li> <li>Measure key team metrics.</li> </ul> <p><strong>Qualifications</strong></p> <ul> <li>Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Experience in lieu of a degree may be considered.&nbsp;</li> <li>3+ years of experience in cloud data engineering.&nbsp;</li> <li>2+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc.</li> <li>1+ years working with ETL tools (MS SSIS or similar).</li> <li>Significant hands-on experience working with databases, schemas, complex queries, data modeling, stored procedures, etc. (MS SQL Server, Postgres and Redshift preferred).</li> <li>Excellent communication skills in English, with the ability to collaborate effectively with cross-functional teams and stakeholders.</li> </ul> <p><strong>Additional experience that is a plus to have:</strong></p> <ul> <li>AWS Certified Data Engineer – Associate</li> <li>AWS Certified Cloud Practitioner</li> <li>AWS Certified AI Practitioner</li> </ul> <p>&nbsp;</p><div class="content-conclusion"><p><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;"><em>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.</em></span></p> <hr> <p>&nbsp;</p></div>

About Shift4 Payments

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Shift4 Payments

shift4.com

Data EngineeringOn-site

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