About the Role
We are hiring multiple Analytics Engineers to join our fast-growing data team. Experience a fast interview process with quick turnaround, working on large-scale data systems that power decisions across millions of users.
This role offers the opportunity to work at the intersection of data engineering and analytics, building scalable data solutions that directly impact business outcomes.
About the Company
Swiggy is India’s largest on-demand convenience platform, operating across 500+ cities with a robust logistics network. From food delivery to groceries and hyperlocal services, Swiggy powers seamless digital experiences for millions of users across the country.
Key Responsibilities
- Collaborate with data engineering teams to build and optimize data pipelines
- Design efficient data models and support data architecture decisions
- Write optimized queries for large-scale datasets and improve performance
- Implement DataOps practices including automation, monitoring, and alerting
- Enable self-serve analytics platforms for recurring business insights
Skills & Experience
- Experience in analytics, data engineering, or related fields
- Proficiency in SQL, Python, R, or Excel for data manipulation
- Familiarity with tools like Snowflake, Spark, or Databricks
- Understanding of query optimization and performance tuning
- Ability to work with large datasets in fast-paced environments
What We’re Looking For
- Strong analytical and problem-solving mindset
- Ability to work in unstructured, dynamic environments
- Effective communication and cross-functional collaboration skills
- Ownership and attention to detail in data-driven work
Apply Even If…
You don’t meet every requirement listed above. We encourage you to apply if you’re passionate about working with data and building impactful analytics solutions.
Key Skills
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- Posted
- Apr 14, 2026
- Type
- Full-time
- Level
- Associate
- Location
- India
- Company
- Swiggy
Industries
Categories
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