Lead Data Engineer

IndiGo is India’s largest and most preferred passenger airline and amongst the fastest growing airlines in the world.
We have a simple philosophy: offer fares that are affordable, flights that are on time, and provide a courteous and hassle-free travel experience across our unparalleled network. We show that low cost does not mean low quality. With our fleet of over 320 aircraft, we operate well over 2000+ daily flights, connecting over 118 destinations (of which 32 international), welcoming 100 million customers on board last year. We have an industry leading on-time performance and one of the highest customer NPS in the Indian market. At IndiGo, we will continue to extend our scope, by spreading our wings internationally, developing from a domestic carrier to a global aviation giant.

Job Description

Job Overview:

We are seeking a skilled Senior Lead Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and infrastructure to support our organization’s data needs. As a Senior Lead Data Engineer, you will collaborate with cross-functional teams to ensure data reliability, efficiency, and accessibility. Candidate is expected to have 10-16 years of experience in  ETL/ELT, Architecture, Data-warehousing, BI domain. If you have a passion for data, exceptional problem-solving skills, and a strong background in engineering, this role is perfect for you.

Skill Set Required:

1. Proven experience as a Senior Data Engineer/Solution Architect or similar role, with a strong understanding of Pipeline Design ,data modeling, database design, and data warehousing concepts.

2. Hands-on modeling, design, configuration, installation, performance tuning experience.

3. Experience working with cloud platforms such as Snowflake , Azure Data Factory, ADLS and any other ETL toos/ databases.

4. Understanding of ETL/ELT, Datawarehouse, Data lake designs.

5. Proficiency in programming languages such as Python, Scala, or SQL, with experience in building and optimizing complex SQL queries. Strong analytical and problem-solving skills, with the ability to troubleshoot technical issues and optimize data processes for performance and scalability.

6. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate complex technical concepts to non-technical stakeholders.

7. Experience with data visualization tools such as Tableau, Power BI, or similar tools is a plus.

8. Certifications in relevant technologies (Snowflake,Azure ) are desirable but not required.

9.Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.

At IndiGo, we believe in the innate strength of an energetic, diverse, and inclusive workforce, where the viewpoints and life experiences of our employees help us foster strong connection with all our customers. Our diversity equity and inclusion efforts are designed to attract, nurture, and advance the lives of our employees and customers irrespective of their, but not limited to, gender, race, color, religion, caste, creed, ethnicity, origin, language, social and economic status, sexual orientation, persons with disabilities, nationality, age, marital and maternity status. 

IndiGo does not charge fees for Job Interviews, Registration, Verification or Offer Letters. All Official communication will be from verified IndiGo IDs (e.g., [email protected]). Please report any fake job offer to eco.goindigo.in