What’s DoorDash like in terms of their business, the role, and the work culture?

Well, the Data Engineering team is all about building database solutions that support various needs like reporting, product analytics, and marketing optimization. They create pipelines and data structures that really help with decision-making at DoorDash.

You’ll be a key player in scaling the data infrastructure and automation tools. This means you’ll work closely with business partners to understand data needs, design and implement data models and pipelines, and improve the reliability of ETL processes. Plus, you’ll help onboard new engineers, which is pretty cool!

You’ll need at least 3 years of experience in data engineering or a similar field. Proficiency in programming languages like Python or Java is a must, along with experience in ETL tools and distributed data ecosystems. Good communication skills are also important since you’ll be working with both technical and non-technical teams.

You’ll be working with a bunch of cool tools! They mention using AWS or GCP for ETL orchestration, and you should be familiar with databases like Snowflake, Redshift, and PostgreSQL. Plus, experience with reporting tools like Tableau or Looker would be super helpful.

Yeah! They’re looking for someone who’s comfortable in a fast-paced environment and can self-organize. It sounds like they really value a proactive attitude, so if you’re a self-starter, you’ll fit right in!