Data Engineer I, Burger King

Restaurant Brands International•Miami, FL

5d•Onsite

About The Position

Restaurant Brands International Inc. is one of the world's largest quick service restaurant companies with nearly $45 billion in annual system-wide sales and over 32,000 restaurants in more than 120 countries and territories. RBI owns four of the world's most prominent and iconic quick service restaurant brands – TIM HORTONS®, BURGER KING®, POPEYES®, and FIREHOUSE SUBS®. These independently operated brands have been serving their respective guests, franchisees and communities for decades. Through its Restaurant Brands for Good framework, RBI is improving sustainable outcomes related to its food, the planet, and people and communities. RBI is committed to growing the TIM HORTONS®, BURGER KING®, POPEYES® and FIREHOUSE SUBS® brands by leveraging their respective core values, employee and franchisee relationships, and long track records of community support. Each brand benefits from the global scale and shared best practices that come from ownership by Restaurant Brands International Inc. As a Data Engineer I, you will be responsible for designing, building, and maintaining robust data pipelines and ETL processes. This role requires strong programming skills in Python, and proficiency in AWS technologies, including Infrastructure as Code and key services such as S3, KMS, Glue/EMR, SNS,SQS, and Athena. Collaboration with data scientists and analysts to ensure data accuracy and consistency is a crucial aspect of this role. RBI follows a 5 day, in-office work schedule to support collaboration. Candidates will be expected to work onsite 5 days per week out of our office in Miami, FL.

Requirements

Bachelor’s degree in computer science, engineering, or a related field; equivalent experience in the software engineering field will also be considered.
Strong programming skills in Python.
Proficient in AWS, with the ability to design and architect AWS Infrastructure as Code using Terraform, AWS Cloudformation, CDK, or Serverless Framework. Experience with AWS services such as S3, KMS, Glue/EMR, SNS, SQS, and Athena is essential.
Strong problem-solving and analytical skills.
Excellent communication

Nice To Haves

Experience working with AWS Glue and/or AWS EMR is a plus.
Familiarity with Data Warehouse solutions, including Snowflake and/or Redshift.
Knowledge of workflow orchestration tools such as Airflow and/or Dagster.

Responsibilities

Design, build, and maintain efficient data pipelines and ETL processes to facilitate seamless data flow.
Develop and maintain scalable data warehouse and data lake solutions to meet growing organizational data needs.
Optimize data storage and retrieval processes for enhanced performance and cost efficiency.
Collaborate closely with data scientists and analysts to support their analytical requirements and ensure data accuracy and consistency.
Monitor and troubleshoot data pipelines and systems, identifying and resolving issues promptly.