Senior Data Engineer

IndiGo; Gurugram District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

IndiGo is seeking a Senior Data Engineer to join the Engineering DRIVE team, focusing on data-driven solutions, automation, analytics platforms, and internal digital products to boost operational efficiency and business performance.

The role collaborates with Engineering, Operations, IT, and business stakeholders to design, develop, and deploy scalable solutions aligned with IndiGo's digital transformation journey.

Qualifications

• Bachelor's or master's in a related technical field.
• Minimum 2+ years of experience in data engineering, analytics, software development, BI, automation, or digital transformation.
• Proven experience deploying production-grade data, analytics, automation, or digital solutions.

Responsibilities

• Digital Solutions & Automation: Develop and implement digital solutions addressing business challenges and translate requirements into scalable tech solutions.
• Data Engineering & Analytics: Build and maintain data pipelines, models, data assets, ensure data quality and governance, enable scalable reporting and insights.
• Technology & Innovation: Develop solutions that integrate data and systems, contribute to digital transformation, exploreEmerging tech and intelligent automation to improve processes.

Skills

Data modeling

ETL/ELT

SQL

Python

API integration

Workflow automation

Data visualization

Cloud platforms

Generative AI

Education

Bachelor's or Master's in CS/IT/DS/AI/SE

Tools

Python

SQL

APIs

Job description

Job Purpose

We are looking for a Senior Data Engineer to join the Engineering DRIVE team for development of data-driven solutions, automation initiatives, analytics platforms, and internal digital products that enhance operational efficiency and business performance.

The role will collaborate with Engineering, Operations, IT, and business stakeholders to design, develop, and deploy scalable solutions while supporting IndiGo's digital transformation journey.

Key Responsibilities

Digital Solutions & Automation

• Develop and implement digital solutions to address business and operational challenges.
• Translate business requirements into scalable and sustainable technology solutions.
• Automate manual processes and improve operational efficiency through technology-driven initiatives.
• Support the complete lifecycle of digital products, from requirement gathering through deployment and continuous improvement.

Data Engineering & Analytics

• Build and maintain reliable data pipelines, models, and data assets for business use.
• Ensure data quality, accuracy, integrity, and governance across solutions.
• Enable actionable insights through scalable reporting and analytical capabilities.

Technology & Innovation

• Develop solutions that integrate data, processes, and enterprise systems.
• Contribute to digital transformation initiatives across Engineering and Operations.
• Explore emerging technologies and intelligent automation opportunities to improve business processes.

Qualifications & Skills Required

• Bachelors or master’s degree in computer science, Information Technology, Data Science, Artificial Intelligence, Software Engineering, or a related technical discipline.
• Minimum 2+ years of relevant experience in Data Engineering, Analytics, Software Development, Business Intelligence, Automation, or Digital Transformation.
• Proven experience in developing and deploying production-grade data, analytics, automation, or digital solutions.
• Demonstrated ability to independently deliver end-to-end solutions, from requirement gathering and design to deployment and business adoption.
• Experience working with cross-functional stakeholders to drive technologically enabled business improvements.
• Professional certifications in Data Engineering, Cloud Platforms, Business Intelligence, Automation, Generative AI, or related technologies will be preferred.

Technical Skills

• Data Engineering & Analytics: Data Modelling, ETL/ELT Development, Data Warehousing, SQL, Data Quality Management, Business Intelligence, Reporting & Analytics
• Digital Solution Development: Python Development, Digital Solution Development, API Integrations, Workflow Automation, System Integration, Solution Design
• Data Visualization & Insights: Dashboard Development, KPI Reporting, Data Visualization, Business Analytics
• Cloud & Emerging Technologies: Cloud Platforms, Enterprise Data Solutions, Generative AI, AI Agents, Intelligent Automation, AI Productivity Tools