About the Role :

We are looking for a Data Engineer who can operate as a high-impact Individual Contributor with the depth and ownership of a Tech Lead.

This role requires someone who can architect, build, and scale data systems end-to-end, with a strong focus on open-source and self-managed data infrastructure.

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 :

- 4+ 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