Company Details Swiggy is India's largest on-demand convenience platform, redefining the way people access food, groceries, and everyday essentials. Established in 2014, Swiggy operates across 500+ cities with a robust logistics network that ensures fast and reliable doorstep delivery. From restaurant meals to groceries via Instamart and hyperlocal pick-up and drop services through Genie, Swiggy has become an integral part of daily life for millions of Indians, combining technology, scale, and convenience in a seamless digital experience.

Collaboration with Data Engineering Team

Partner closely with our Data Engineering team to ensure efficient data collection, storage, and processing

Collaborate in designing and optimizing data pipelines for seamless data movement

Work jointly on data architecture decisions to enhance analytics capabilities

Performance Tuning and Query Optimization

Identify bottlenecks and optimize data processing pipelines for improved performance

Implement best practices for query optimization, ensuring swift data retrieval

Contribute to the DataOps framework, automating data processes and enhancing data quality

Implement monitoring and alerting systems to ensure smooth data operations

Bachelor's or Master's degree in Engineering, Mathematics, Statistics, or a related quantitative field

2–4 years of analytics, data science, or related experience
Proficiency (2–4 years) in SQL, R, Python, Excel, etc., for effective data manipulation
Hands-on experience with Snowflake and Spark/Databricks, adept at Query Profiles and bottleneck identification
Apply creative thinking to solve real-world problems using data-driven insights

Data Science Engineer I

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