Senior Analytics Engineer
DoorDash India · Posted Oct 27
Software development, engineering support, and technology services for a global local commerce platform
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About the role
The Data Engineering team at DoorDash builds database solutions for use cases including reporting, product analytics, marketing optimization and financial reporting, serving as the foundation for decision-making at the company. DoorDash is a technology and logistics company that started with door-to-door delivery and is expanding to a broader goods marketplace. This role focuses on building and scaling data models, pipelines, and self-service analytics, including a reliable semantic/presentation layer and reporting structure so teams can access and analyze data independently.
What you will do
- 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
Skills used in this role
What the employer is looking for
- 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
Preferred qualifications
- 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
Benefits and support
- Compensation and benefits are detailed in the job posting
About DoorDash India
DoorDash Technologies India Private Limited acts as an Indian subsidiary and engineering/technology hub for DoorDash, Inc., supporting its global local commerce and delivery platform operations. The entity operates primarily as a corporate and technical setup in India rather than a consumer-facing delivery marketplace. It provides core technological backing, research, and software development services to the parent company.
- Industry
- Software & IT Services
- Company size
- 50-100 employees
- Founded
- 2020-01-23
- Location
- Pune, Maharashtra, India
- Funding stage
- Public Company
Funding
Public Company · $2.5B raised
- 2020-06-18Series H$400M
Recent coverage
Analytics India Magazine
DoorDash Opens First India Hub in Hyderabad, Plans to Scale Team to 3,0002026-09-30
The Economic Times
DoorDash opens first India Office, plans to scale tech, support team to 3,0002026-09-30
MT Newswires
Update: DoorDash Sets Up India Talent Hub, Aims to Scale Workforce to Over 3,0002026-09-30