Data Engineer

Job title: Data Engineer 3

Location: Gurugram, India

Reporting to: Engineering Manager

About noon

Were building an ecosystem of digital products and services that power everyday life across the Middle Eastfast, 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 were looking for a (add title) who can help us move even faster.

noons 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 noons 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 wont just be consuming data; youll 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 Youll 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?

• Were 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.