Data Engineer

Job title: Data Engineer 3

Location: Gurugram, India

Reporting to: Engineering Manager

About noon

We're building an ecosystem of digital products and services that power everyday life across the Middle East—fast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day. We want to redefine what technology can do in this region, and we're looking for a (add title) who can help us move even faster.

noon's mission: Every door, every day.

About Dubai Mall Shopping

With over 100 million visitors each year, Dubai Mall is a world-class destination for discerning, high-value shoppers. Now, powered by noon's technology and our trusted logistics, this premium experience is available online, free from crowds, parking hassles, or restrictive store hours. A truly exceptional mall experience, instantly at your fingertips.

What you'll do:

Data will sit at the core of how we operate and scale — from powering real-time experiences to enabling smarter decisions for both customers and merchants. This role is about building the foundation early and getting it right. You won't just be consuming data; you'll define how it flows across the system.

● Design and build reliable, scalable data pipelines that support both real-time and batch use

cases.

● Enable key product capabilities such as personalization, recommendations, and operational

insights.

● Partner closely with backend, frontend, and product teams to ensure data is accurate, accessible,

and actionable.

● Establish strong data modeling practices and lay the groundwork for a robust data platform.

● Improve data quality, observability, and performance as the system scales.

● Contribute to decisions around tooling, architecture, and long-term data strategy.

What You'll Need

● 5+ years (Mid), 8+ years (Senior/Lead) experience in data engineering or a related field.

● Strong proficiency in SQL and Python, with experience in production data systems.

● Experience building and maintaining data pipelines (ETL/ELT), both batch and streaming.

● Hands-on experience with distributed processing frameworks (e.g., Spark, Flink, or similar).

● Experience with orchestration tools (e.g., Airflow or similar).

● Familiarity with messaging/streaming systems (e.g., Google Pub/Sub, Kafka or equivalents).

● Experience with cloud platforms (GCP preferred) and modern data tooling.

● Understanding of data warehousing concepts and data modeling best practices.

● Comfort working in a fast-moving environment with evolving requirements.

● Strong problem-solving skills and attention to detail.

● Clear communication and a collaborative mindset.

Who will excel

• We're looking for people with high standards, who understand that hard work matters.
• You need to be relentlessly resourceful and operate with a deep bias for action.
• We need people with the courage to be fiercely original.
• noon is not for everyone; readiness to adapt, pivot, and learn is essential.