Data Engineer

Swiggy · Delivery · Marketplaces · Python · SQL · ETL/ELT · AWS Glue · 3 days ago
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Salary
≈ $35k – $75k per year (Estimated)
Location
In office (Mumbai)
Experience
8+ years exp

First seen by Alion on Oct 26, 2026.

Overview
Company
Impact
Profile match

Swiggy

Headquartered in Bengaluru, India, Swiggy is an on-demand convenience platform and quick-commerce company. The company operates a multi-service digital ecosystem offering online restaurant food delivery, instant grocery and household goods fulfillment (Swiggy Instamart), restaurant table reservations and dining out deals (Dineout), and hyperlocal pick-up/drop logistics (Swiggy Genie).
swiggy.com · HQ: Bengaluru, India · Marketplaces · Online Groceries · Delivery · 501-1000 employees · Est. 2014
Tech stack of Swiggy
Backed by Accel, Bessemer Venture Partners, Coatue

Requirements:

  • Expert-level SQL: Strong proficiency in writing complex, optimized SQL queries (especially for Amazon Redshift).
  • Experience with Apache Spark (preferably on AWS EMR) for big data processing.
  • Proven experience using AWS Glue for ETL pipelines (working with RDS, S3 etc. ).
  • Strong understanding of data ingestion techniques from diverse sources (files, APIs, relational DBs).
  • Solid hands-on experience with Amazon Redshift: data modeling, optimization, and query tuning.
  • Familiarity with AWS Quicksight for building dashboards and visual analytics.
  • Proficient in Python or PySpark for scripting and data transformation.
  • Understanding of data pipeline orchestration, version control, and basic DevOps.
  • Knowledge of other AWS services (Lambda, Step Functions, Athena, CloudWatch).
  • Experience with workflow orchestration tools like Apache Airflow.
  • Exposure to real-time streaming tools (Kafka, Kinesis, etc. ).
  • Familiarity with data security, compliance, and governance best practices.
  • Experience with infrastructure as code (e. g., Terraform, CloudFormation).

Skills

ETL, Glue, Redshift, SQL

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