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About the Role

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 to design, develop, and maintain robust data infrastructure solutions. You will collaborate closely with cross-functional teams to ensure the availability, reliability, and scalability of our system.

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 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.
• 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.
• 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.

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

• Tampa, FL
• Atlanta, GA
• Las Vegas, NV
• Center Valley, PA
• Toronto, ON, CAN
• Vancouver, B.C., CAN

Work Type

• Onsite

Experience Level

• Senior
• 5+ years of experience in cloud data engineering
• 4+ years working with AWS services
• 2+ years working with ETL tools
• Significant hands-on experience working with databases

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.