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Swiggy

Data Engineer

2-4 Years
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Job Description

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.

Job Roles & Responsibilities

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

  • Dive into large, complex datasets to create efficient and optimized queries for analysis
  • Identify bottlenecks and optimize data processing pipelines for improved performance
  • Implement best practices for query optimization, ensuring swift data retrieval

DataOps Excellence

  • Contribute to the DataOps framework, automating data processes and enhancing data quality
  • Implement monitoring and alerting systems to ensure smooth data operations
  • Collaborate with the team to develop self-serve platforms for recurring analysis

Ideal candidate profile

  • Bachelor's or Master's degree in Engineering, Mathematics, Statistics, or a related quantitative field
  • 24 years of analytics, data science, or related experience
  • Proficiency (24 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
  • Embrace a fail fast, learn faster approach in a dynamic, fast-paced environment
  • Exhibit proficient verbal and written communication skills
  • Thrive in an unstructured environment, demonstrating attention to detail and self-direction
  • Foster collaboration and partnerships across functions

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About Company

Job ID: 145110299

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