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Senior AWS Cloud Data Engineer
- Atlanta, Georgia, United States
- Atlanta, Georgia, United States
Ăśber
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.
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
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.
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Sprachkenntnisse
- English
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