Restaurant Brands International Inc. is looking to build robust data pipelines, data warehouses, and data lake solutions to support their restaurant brands.
Requirements
- Experience with AWS, data warehousing, Python, and workflow orchestration tools such as Airflow or Dagster.
- Experience using modern JavaScript/NodeJS/TypeScript build and packaging systems
- Experience with NodeJS and relevant frameworks, NestJS preferred
- Experience with NoSQL databases, preferably DynamoDB
- Cloud deployment experience, preferably AWS + Terraform
- Infrastructure as Code using tools like Terraform, AWS CloudFormation, CDK, or Serverless Framework.
- Familiarity with AWS technologies, including S3, KMS, Glue/EMR, SNS, SQS, and Athena.
- Experience with data warehousing solutions like Snowflake and/or Redshift.
- Familiarity with workflow orchestration tools like Airflow and/or Dagster.
Responsibilities
- Design, build, and maintain efficient data pipelines and ETL processes.
- Develop and maintain data warehouse and data lake solutions.
- Collaborate with data scientists and analysts to ensure data accuracy and consistency.
- Optimize data storage and retrieval for both performance and cost efficiency.
- Monitor and troubleshoot data pipelines and data systems.
Other
- 2+ years of experience in software engineering.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience in software engineering.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
- This position is based in Miami, FL and is in the office 5 days a week.
