Data Engineer

Building the Next-Gen Backend & Data Platform Team - GoKwik | Gurgaon

About Company

GoKwik is a growth operating system designed to power D2C and eCommerce brands, covering everything from checkout optimization and reducing return-to-origin (RTO), to payments, retention, and post-purchase engagement. Today, GoKwik enables over 15,000+ merchants worldwide, processes around $2 billion in GMV, and is strengthening its AI-powered infrastructure. Backed by RTP Global, Z47, Peak XV, and Think Investments and bolstered by a $13 million growth round in June 2025 (total funding: $68 million), GoKwik is scaling aggressively across India and the UK.

About the Role

We're looking for curious, high-ownership engineers who enjoy solving real systems and infrastructure problems at scale.

This is not a traditional ETL-heavy Data Engineering role.

We want engineers who think beyond pipelines—people who understand distributed systems, real-time architectures, backend engineering, infrastructure, and modern open-source data stacks.

What You'll Do

•    Design and build scalable, high-performance data platforms and pipelines

•    Work on distributed data systems across batch and real-time processing

•    Take end-to-end ownership — from architecture to deployment and optimization

•    Debug, optimize, and extend open-source data systems

•    Solve problems at the infrastructure and systems level (not just tool usage)

•    Collaborate across teams and drive data engineering best practices

What We're Looking For

•    2+ years of experience in Data Engineering / Data Platform roles

•    Strong understanding of distributed systems, data storage, and compute layers

•    Ability to design systems from first principles, not just use tools

•    Hands-on experience with open-source or self-managed architectures

•    Strong programming skills in Python or Go (Golang)

•    Experience with system design, performance tuning, and debugging at scale

Nice to Have

•    Backend engineering experience (APIs, services, system design)

•    Experience working on infrastructure and deployment

•    Exposure to high-scale or real-time systems

Key Skills

•    Query & OLAP: Trino, ClickHouse, Apache Pinot

•    Batch & Stream Processing: Apache Spark (OSS), Apache Flink (OSS)

•    Table Format: Apache Iceberg

•    Cataloging: AWS Glue

•    Cloud: AWS

•    Languages: Go, Python