Data Engineer, Senior

## Senior AWS Cloud Data Engineer Apply remote type:
On-site locations:
Toronto GiveX Office:
Tampa, FL Office:
Vancouver, BC Office:
Atlanta, GA Office:
Las Vegas, NV Office time type:
Full time posted on:
Posted Todayjob requisition  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 Shift4 is expanding globally and seeking a key Senior AWS Cloud Data Engineer to join our team of world-class in-house engineers that will contribute to the technology, architecture and engineering delivery across an AWS Cloud Data Services team.

As a
** Senior AWS Cloud Data Engineer,
** you will use your
*** experience in cloud data engineering and Redshift, AWS Glue, Lambda, and DMS Kinesis technologies first and foremost
*** 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.
*** 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 / Toronto, ON, CAN / Vancouver, B.C., CAN
***** Responsibilities
* * Technology:
* 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 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 closely with 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.

Process
* Ensure efficient operation of Scrum within the team.
* Analyze and update tools and processes when required.
* Measure key team metrics.
** Qualifications
* ** Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Experience in lieu of a degree may be considered.
* 5+ years of experience in cloud data engineering.
* 4+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc.
* 2+ years working with ETL tools (MS SSIS or similar).
* Significant hands-on experience working with databases, schemas, complex queries, data modeling, stored procedures, etc. (MS SQL Server, Postgres and Redshift preferred).
* Excellent communication skills in English, with the ability to collaborate effectively with cross-functional teams and stakeholders.
** Additional experience that is a plus to have:
*** AWS Certified Data Engineer – Associate
* AWS Certified Cloud Practitioner
* AWS Certified AI Practitioner#LI-BN1
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