Job Title: Senior Consultant – Data Engineer
Type: Contractual Role (6 Months)
Location: Gurgaon (Work from Office)
Experience: 7+ Years
About the Role
We are seeking a highly skilled Senior Consultant – Data Engineer to join our engineering team and contribute to building large-scale, real-time data systems.
This role is suited for engineers who enjoy solving complex distributed systems problems, designing scalable data platforms, and working in fast-paced, product-driven environments. The ideal candidate will be deeply hands-on, capable of driving technical decisions independently, and comfortable working across data, backend, and infrastructure layers.
This is not a traditional ETL or reporting role—we are looking for strong system engineers with deep ownership, debugging expertise, and systems-level thinking.
Key Responsibilities
- Design and develop scalable, high-performance data platforms and pipelines
- Build and manage distributed systems for batch and real-time data processing
- Own end-to-end delivery including architecture, development, deployment, and optimization
- Debug, optimize, and extend open-source data systems
- Solve infrastructure and system-level engineering challenges beyond tool usage
- Collaborate with cross-functional teams and drive data engineering best practices
Required Skills & Experience
- 7+ years of experience in Data Engineering or Data Platform engineering roles
- Strong understanding of distributed systems, data storage, and compute architecture
- Experience in designing systems from first principles (not just tool-based implementation)
- Hands-on experience with open-source or self-managed data systems
- Strong programming skills in Python or Go (Golang)
- Experience in system design, performance tuning, and large-scale debugging
Nice to Have
- Backend engineering experience (APIs, microservices, system design)
- Experience in infrastructure management and deployments
- Exposure to high-scale or real-time data systems
Key Technologies
- 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
Application Process
Interested candidates can share their updated resume to:
[email protected]
Pay: ₹2,000,000.00 - ₹3,000,000.00 per year
Work Location: In person
