DoorDash India

Analytics Engineer, India

DoorDash India · Hyderabad, India

Posted about 2 months ago

or apply directly on DoorDash India's site. We never take the application ourselves.

Is this posting real?

This role has been open
55 days
DoorDash India's roles stay open a median of 52 days
Reposted
No
Salary listed
No
0% of DoorDash India's roles list one
Ghost-job risk at DoorDash India
high
13 stale, 1 reposted of 24 open
Hiring momentum
43 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-27

Measured from postings appearing on and disappearing from DoorDash India's own greenhouse board since 2026-08-03. Full hiring picture for DoorDash India.

About this role

As an Analytics Engineer at DoorDash, you will be responsible for building and scaling data foundations that provide actionable insights across various business teams. Your role will involve collaborating with data scientists, engineers, and business stakeholders to develop data products and self-serve tools, while ensuring high data integrity and creating compelling visualizations. This position is highly technical and requires a proactive approach to solving complex data problems.

Our read on this posting2.0out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of DoorDash India as an employer.

What you need

  • 5+ years of experience in business intelligence, analytics engineering, data engineering, or a similar role
  • Strong proficiency in SQL for data transformation
  • Comfort in at least one functional/OOP language such as Python or Scala
  • Expertise in creating reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
  • Familiarity with database fundamentals (e.g., S3, Trino, Hive, Spark)
  • Experience with SQL performance tuning

Nice to have

  • Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift)
  • Experience building multi-step ETL jobs and orchestrating workflows (e.g. Airflow, Dagster, DBT)
  • Familiarity with experimentation concepts like A/B testing and their data requirements

Worth weighing

  • No salary listed
  • Role involves collaboration across multiple domains, which may require adaptability
  • Fast-paced environment may not suit everyone

Summarised from DoorDash India's posting. Read the full original.

Listed by DoorDash India on their greenhouse job board, last confirmed open on 2026-09-27. PitchMeAI is not the employer.

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