AWS Cloud Data Engineer
Shift4 (nyse: Four)
Tampa, United States of America
1 month ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Tampa, United States of America
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Cloud Computing
Information Systems
Databases
Data Infrastructure
ETL
Database Queries
PostgreSQL
Microsoft SQL Server
Scrum
Cloud Services
SQL Stored Procedures
SQL Server Integration Services
Cloud Platform System
Technical Debt
Information Technology
Amazon Web Services (AWS)
Redshift
Job description
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., 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.
Requirements
- 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
About the company
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.
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.