The Burger King Company in the US needs to design, build, and maintain robust data pipelines and infrastructure to handle millions of transactions per day, enabling actionable insights and supporting strategic business initiatives.
Requirements
- Strong programming skills in Python and SQL.
- Extensive experience with AWS services (e.g., S3, Glue, Athena, EMR, SNS, SQS, KMS).
- Experience with data warehousing solutions like Snowflake or Redshift.
- Proficiency with workflow orchestration tools (e.g., Apache Airflow, Dagster).
- Experience with Infrastructure as Code (e.g., Terraform).
- Knowledge of NoSQL databases like DynamoDB.
- Experience with Retool development and ticketing systems such as JIRA.
Responsibilities
- Design, build, and maintain scalable and efficient data pipelines and ETL processes.
- Implement best practices for data integration, modeling, quality, and governance.
- Ensure data reliability, integrity, and availability for critical analytics workflows.
- Drive the development of the overall data engineering strategy and optimize processes to ensure efficiency and scalability.
- Plan and execute data engineering projects, ensuring alignment with organizational objectives.
- Gather and document requirements for projects, create data migration plans, and communicate progress with stakeholders.
- Continuously evaluate emerging technologies and methodologies to improve data engineering capabilities.
Other
- Lead and mentor a team of data engineers, fostering professional growth and knowledge sharing.
- Oversee day-to-day activities of the data engineering team, ensuring timely delivery of projects.
- Collaborate with cross-functional teams, including data scientists, analysts, product managers, and IT, to develop and implement data solutions that meet business needs.
- Manage relationships with technology vendors and oversee service-level agreements.
- Encourage a culture of innovation and continuous improvement within the team.
- 5+ years of progressive experience in data engineering, with at least 3 years leading engineering teams.
- Demonstrated ability to lead and manage multiple complex projects in a fast-paced environment.
