Analytics Engineer, India
DoorDash · Hyderabad · 5+ yrs experience · Posted 2026-07-18
Tech stack: Go, Python, SQL, Scala, Spark
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About the role
Responsibilities:
- As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights.
- You’ll work closely with partner teams to drive end-to-end analytics initiatives; working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators.
- This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company.
- If you're energized by solving technical problems with data and comfortable being deeply embedded across several domains, this role is for you!
- Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
- Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
- Lead the development of data products and self-serve tools that enable analytics to scale across the company
- Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
- Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
- Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization
Qualifications:
- 5+ years of experience working 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 compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
- Familiarity with database fundamentals (e.g., S3, Trino, Hive, Spark), and experience with SQL performance tuning
- Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
- Excellent communication skills and experience working with technical and non-technical teams
- Comfortable working in fast fast-paced environment, self-starter, and self-organizer
- Ability to think strategically, analyze, and interpret market and consumer information
- Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance
- Experience building multi-step ETL jobs coupled with orchestrating workflows (e.g.
- Airflow, Dagster, DBT)
- Familiarity with experimentation concepts like A/B testing and their data requirements
- The Covey tool has been reviewed by an independent auditor.
- Results of the audit may be viewed here: Covey
- At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers.
- We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
- DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers.
- We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
- The Covey tool has been reviewed by an independent auditor.
- Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
- To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Qualifications
- 5+ years of experience working 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 compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
- Familiarity with database fundamentals (e.g., S3, Trino, Hive, Spark), and experience with SQL performance tuning
- Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
- Excellent communication skills and experience working with technical and non-technical teams
- Comfortable working in fast fast-paced environment, self-starter, and self-organizer
- Ability to think strategically, analyze, and interpret market and consumer information
- Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance
- Experience building multi-step ETL jobs coupled with orchestrating workflows (e.g. Airflow, Dagster, DBT)
- Familiarity with experimentation concepts like A/B testing and their data requirements
- The Covey tool has been reviewed by an independent auditor.
- Results of the audit may be viewed here: Covey
- At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers.
- We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
- DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers.
- We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
- Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144 To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Responsibilities
- As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights.
- You’ll work closely with partner teams to drive end-to-end analytics initiatives; working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators.
- This is a highly technical role where you'll be a
- driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company.
- If you're energized by solving technical problems with data and comfortable being deeply embedded across several domains, this role is for you!
- Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
- Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
- Lead the development of data products and self-serve tools that enable analytics to scale across the company
- Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
- Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
- Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization