Analyst - Revenue Planning & Analysis

IndiGo; Gurgaon; On-site; INR 900,000 - 1,350,000; Full time

Job summary

IndiGo in Gurgaon is seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure supporting analytics and ML initiatives.

You will work with data scientists, analysts, and business stakeholders to ensure high-quality, accessible data across operations, customer service, and planning.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 1–2 years of experience in data engineering or related roles.
• Hands-on experience with Google Cloud Platform (GCP) required.
• Experience with Databricks and BigQuery.
• Proficiency with Git for version control.
• Proficiency in SQL and Python; experience with Spark, Airflow, or similar tools.
• Familiarity with data warehousing solutions (e.g., Snowflake, Redshift).
• Strong understanding of data modeling, data lakes, and distributed systems.

Responsibilities

• Develop and maintain ETL/ELT pipelines for ingesting and transforming flight, passenger, and operational data.
• Design and implement data models and architectures optimized for performance and scalability using Object oriented programming.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality, integrity, and security across all systems.
• Monitor and optimize data workflows for real-time and batch processing.
• Support the deployment of machine learning models into production environments using Object-Oriented Programming (OOP) principles for modularity, scalability, and maintainability.

Skills

SQL

Python

GCP

Databricks

BigQuery

Git

Spark

Airflow

Data modeling

Data lakes

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

GCP

Databricks

BigQuery

Git

Spark

Airflow

Job description

We are a leading airline committed to delivering exceptional travel experiences through innovation and data-driven decision-making. As part of our digital transformation journey, we are expanding our Data & Analytics team to harness the power of data across operations, customer service, and strategic planning.

Role Overview

As a Data Engineer, you will design, build, and maintain scalable data pipelines and infrastructure to support analytics and machine learning initiatives. You will work closely with data scientists, analysts, and business stakeholders to ensure high-quality, accessible data across the organization.

Key Responsibilities

• Develop and maintain robust ETL/ELT pipelines for ingesting and transforming flight, passenger, and operational data.
• Design and implement data models and architectures optimized for performance and scalability using Object oriented programming.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality, integrity, and security across all systems.
• Monitor and optimize data workflows for real-time and batch processing.
• Support the deployment of machine learning models into production environments using Object-Oriented Programming (OOP) principles for modularity, scalability, and maintainability.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 1-2 years of experience in data engineering or related roles.
• Hands-on experience with Google Cloud Platform (GCP) is a must.
• Experience with Databricks and BigQuery.
• Proficiency with Git for version control.
• Proficiency in SQL and Python; experience with Spark, Airflow, or similar tools.
• Familiarity with data warehousing solutions (e.g., Snowflake,Redshift).
• Strong understanding of data modeling, data lakes, and distributed systems.

Preferred Skills

• Experience in the aviation or travel industry.
• Knowledge of real-time data processing (pub-sub).
• Exposure to machine learning workflows and MLOps.

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