Описание

DoorDash seeks a Senior Analytics Engineer to build data models, pipelines, and a semantic layer for self-service analytics, focusing on developing a reliable semantic/presentation layer and reporting structure.

Responsibilities

Design, develop, and maintain robust data models to support analytical and product data needs across the organization
Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into scalable data solutions
Implement and optimize ETL/ELT processes to ensure data quality, reliability, and performance
Own and define business KPIs, their measurement plans, data requirements and reporting
Build processes to ensure correct, timely and reliable reporting
Address ad-hoc reporting requirements and find pathways for automation
Build and enforce common design patterns to increase report reusability, readability and standardization
Build visually appealing, high-performing, and impactful reporting/dashboard products using tools like Sigma/Thoughtspot/Looker across large data sets

Requirements

5+ years extensive experience working in business intelligence, data analytics, Data engineering or a similar role
Strong SQL skills and experience with data modeling techniques (e.g., dimensional modeling, 3 Nf, data vault)
Proficiency in a programming language such as Python or Scala
Experience building reporting and dashboarding solutions using data lake/Snowflake or similar ecosystem
Expert in Database fundamentals, SQL and performance tuning
Excellent communication skills and experience working with technical and non-technical teams
Comfortable working in fast paced environment, self starter and self organizing
Ability to think strategically, analyze and interpret market and consumer information

Nice to have

Experience with real-time data processing and streaming technologies
Experience with modern data warehousing platforms (e.g., Snowflake, DataBricks, Redshift) and knowledge of data visualization tools (e.g., Looker, Tableau)
Familiarity with machine learning concepts and their data requirements

We offer

Comprehensive benefits and perks

Hiring process

Covey tool may be used as part of the hiring and/or promotional process for jobs in certain locations