Data EngineeringFull-time

Actively Hiring

Data Engineer – Analytics Platform

Swiggy

Remote

₹22L - ₹42L

Posted 1 month ago

Job Overview

Salary / CTC

₹22L - ₹42L

Per annum

Experience Required

Open to all levels

All levels welcome

Job Type

Full-time

In-office / Hybrid

Location

Remote

On-site

Job Description

Swiggy is India's leading on-demand convenience platform, operating food delivery, Instamart quick commerce, Genie instant package delivery, and Dineout restaurant discovery — all from its Bengaluru headquarters. Swiggy's data engineering team operates with a hybrid-remote model, and this role offers full remote flexibility for candidates based anywhere in India. As a Data Engineer on the Analytics Platform team, you will build the data infrastructure that powers Swiggy's real-time operational dashboards, demand forecasting models, dynamic pricing engines, and marketing analytics tools. Your responsibilities include designing and maintaining Apache Spark and Flink streaming pipelines on AWS, building dbt data transformation models on Redshift, creating data quality monitoring systems, managing Apache Airflow DAGs for batch processing, enabling self-serve analytics through well-documented data marts, and collaborating with data scientists on feature engineering pipelines for ML models. You will work with some of India's most complex real-time operational datasets, spanning restaurant inventory, rider location, customer demand, and delivery partner performance across 500+ cities.

Required Skills

Apache SparkApache FlinkdbtAWS RedshiftAirflow

Experience Requirement

Entry

0 – 1 year

Junior

1 – 3 years

Mid

3 – 5 years

Senior

5 – 8 years

Expert

8+ years

This role requires Open to all levels of relevant experience.

How to Apply

This job redirects you directly to the company's official career portal. Click Start Application to open the listing on their website.

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Career Insights: Data Engineer – Analytics Platform

Everything you need to know about this role at Swiggy

About This Role

The Data Engineer – Analytics Platform position at Swiggy is a critical function within their engineering/product ecosystem. Professionals in this role are typically responsible for designing, developing, and maintaining scalable systems or creating exceptional user experiences. This role heavily impacts the overall delivery and performance of digital products.

Tech Stack & Skills Breakdown

To succeed as a Data Engineer – Analytics Platform, candidates must demonstrate proficiency in modern technologies and best practices. This specific role emphasizes strong capabilities in Apache Spark, Apache Flink, dbt, AWS Redshift, Airflow. Mastering these tools ensures you can contribute effectively from day one.

Understanding of core architecture and design patterns.
Ability to write clean, maintainable, and testable code.
Familiarity with agile methodologies and version control systems.

Interview Preparation Tips

Preparing for a Data Engineer – Analytics Platform interview requires a balance of technical prowess and soft skills. Expect questions that dive deep into your past experiences, specifically regarding challenges you've overcome and complex systems you've architected.

Market Salary & Hiring Trends

Compensation for a Data Engineer – Analytics Platform in India can vary significantly based on experience, location, and the employing company. However, there is a strong upward trajectory in salaries for professionals who consistently update their skill sets.

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