Data engineer II

Job Title: Data Engineer

Location: Remote first

Tenure: 2-3 years

About The Team & Role

About Swiggy: Swiggy, founded in 2014, is India’s leading tech-driven on-demand delivery platform. With a vision to enhance the urban consumer’s quality of life through unparalleled convenience, Swiggy connects millions of consumers with a vast network of restaurants and stores across 500+ cities. Our growth stems from cutting-edge technology, innovative thinking, and well-informed decision-making. Join the Swiggy Data Engineering team to collaborate on decoding hyperlocal trends and impact the entire value chain.

Position Overview

As a Data Engineer at Swiggy, you will be at the heart of our data-driven approach, collaborating with cross-functional teams to transform raw data into actionable insights. Your role will encompass and Join us as a Data Engineer at Swiggy to contribute significantly to our data ecosystem, drive operational efficiency, and be an integral part of our data-driven journey. Your expertise will play a pivotal role in influencing our strategic decisions and reshaping the food delivery landscape

What will you get to do here?

• Join hands 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.
• 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.
• 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.

What qualities are we looking for?

• Bachelor’s or Master’s degree in Engineering, Mathematics, Statistics, or a related quantitative field.
• 2-4 years of data engineering 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.
• 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.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.