Data Engineer

Swiggy · Mumbai

  • Experience8–12 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelexecutive
  • Posted2 Sept 2026
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About Swiggy

Swiggy is hiring in Mumbai in ecommerce retail. This role looks for around 8+ years of experience.

Skills

  • SQL
  • Amazon Redshift
  • Apache Spark
  • AWS Glue
  • Python
  • PySpark
  • Amazon S3
  • Amazon RDS
  • Amazon EMR
  • Apache Airflow
  • AWS Lambda
  • AWS Step Functions
  • Amazon Athena
  • Amazon CloudWatch
  • Kafka
  • Amazon Kinesis
  • Terraform
  • AWS CloudFormation
  • Data Modeling
  • Data Governance

The role

A data engineer in a food delivery technology company builds and optimizes big-data pipelines using Amazon Redshift, Apache Spark, and AWS Glue for ingestion, transformation, and analytics. They design data models, tune complex SQL, orchestrate workflows, and support dashboarding and streaming data systems. Their defining skills are Amazon Redshift, Apache Spark, and AWS Glue, complemented by SQL, Python, PySpark, Apache Airflow, Kafka, Amazon Kinesis, Terraform, and data governance.

Full job description

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).