Data Engineer

Responsibilities

• Design, build, test, deploy, and maintain end-to-end multi-source ELT pipelines while optimizing for costs and meeting data service level agreements (SLAs)
• Maintain and extend our Data Warehouse infrastructure to minimize manual work, increase performance, and decrease the frequency and severity of incidents
• Collaborate with the data platform, product engineering, and analytics teams to understand data needs and deliver reliable data products
• Work with the rest of the (Site Reliability Engineering) SRE team to ensure smooth, continued delivery of our service our business partners
• Aggregate, combine, and curate event data with our internal business systems to enable key business decisions

Qualifications

• 3+ years experience as a Data Engineer
• Hands-on experience with columnar/OLAP (Online Analytical Processing) databases at petabyte scale
• Proven track record of operationalizing data pipelines, including building monitoring, alerting, SLA dashboards, and runbooks for production systems
• Strong experience building tooling and automation for database management and maintenance
• Expertise with modern ELT Tools (e.g. dbt, Airbyte, Flink) and orchestration platforms (e.g. Airflow, Dagster)
• Deep, technical understanding of Kimball and medallion architectures
• Experience with one or more high level programming languages (e.g. Python, Java, and SQL)
• Experience with Agile software development
• Experience working with version control tools (e.g. git)
• Experience working within the Continuous Integration / Continuous Delivery (CI/CD) paradigm
• Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar

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