Data Engineer

Fastly operates an edge cloud platform that helps customers create secure, reliable digital experiences by processing applications close to end users. The Data Engineer will evolve the internal data platform, optimize pipelines on Google Cloud Platform, scale ingestion of complex data sources, and build data products that support data-driven decisions across the organization.

Responsibilities:

• You’ll collaborate and partner with stakeholders, and decision-makers to prioritize, design, and fulfill their data analytics needs
• You’ll identify KPIs driving business growth and performance and work closely with the business teams to define them
• You’ll work across the data stack to design and build various data products (pipelines, data models, analysis) that enable the business to make data backed decisions
• You’ll help garner trust in data from the business by documenting analytics best practices, assisting with data discoverability, governance, and accuracy
• You’ll promote and drive a self-service data culture by building easy to use analytics products and teaching the technical and non-technical users how to use them
• You’ll communicate progress, risks, and completion of projects to stakeholders

Requirements:

• 3-5 years of hands-on experience in BI or Analytics teams
• experience with cloud data warehouse technologies
• driven by logical and analytical thinking to solve problems
• eye for detail-oriented analysis and design
• hands-on experience in building and managing data transformations
• able to craft functional and user-friendly data products (data models, pipelines, etc..) for both technical and non-technical stakeholders
• SQL power user, capable of complex, efficient, and logical SQL to accomplish data modeling goals
• functional knowledge of financial, sales, or other core business metrics
• able to manage professional relationships across a variety of stakeholders
• able to identify and prioritize multiple requirements and manage expectations accordingly
• collaborative and willing to traverse and contribute to the entire data stack, from front-end to back-end as needed
• BigQuery is a plus
• dbt experience is a plus
• data visualization tool (ie. Looker, Tableau, Mode)