OverviewShift4 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 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, PAResponsibilitiesTechnology:
- 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
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