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About the Role

As an AWS Cloud Data Engineer, you will design, develop, and maintain robust data infrastructure solutions to support the organization’s data-driven initiatives. You will collaborate closely with cross-functional teams to ensure the availability, reliability, and scalability of our system. We seek self-driven and motivated individuals who take ownership of their projects.

Responsibilities

• 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 technically solid 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.
• 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.
• 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.
• 3+ years of experience in cloud data engineering.
• 2+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc.
• 1+ 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.

Skills

• Redshift
• AWS Glue
• Lambda
• DMS
• Kinesis
• ETL tools (MS SSIS or similar)
• Databases
• Schemas
• Complex queries
• Data modeling
• Stored procedures
• MS SQL Server
• Postgres
• AWS Certified Data Engineer – Associate
• AWS Certified Cloud Practitioner
• AWS Certified AI Practitioner

Location

• USA: Tampa, FL
• USA: Atlanta, GA
• USA: Las Vegas, NV
• USA: Center Valley, PA
• Canada: Vancouver, BC
• Canada: Toronto, ON

Work Type

• Onsite
• Day shift

Experience Level

• 3+ years of experience in cloud data engineering
• 2+ years working with AWS services
• 1+ years working with ETL tools
• Significant hands-on experience working with databases, schemas, complex queries, data modeling, stored procedures, etc.

Education Level

• Bachelors or Masters degree in Computer Science, Information Systems, or a related field

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.
• Shift4 powers the commerce behind your most memorable experiences — transforming how people shop, dine, stay, and play while driving growth for the businesses that make it all possible.
• A Global Leader in Financial Technology
• 75+ Countries
• $300+ Billion Processed Annually
• 300,000+ Customers
• 1,200+ Technology Integrations
• 5+ Billion Annual Transactions
• 100+ Payment Methods
• Shift4's experienced senior leadership team helps us push the boundaries of commerce innovation.
• We take corporate social responsibility seriously and strive to make a positive impact on the world around us.
• The Shift4 team is committed to making a difference in our local communities through volunteerism and other charitable contributions.
• Our people are our greatest asset, and we’re always looking for driven and innovative individuals to join our fast-growing team.
• Click on the link above to learn more about our company culture and view open positions.

Equal Opportunity

• 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.