About Panorama Block

Panorama Block builds governable AI orchestration and execution infrastructure for institutional finance, backed by partners such as Anchorage Digital and Avalanche. We are a remote-first team scaling our technical operation as we head toward our token generation event and institutional launch.

About the Role

We are looking for a hands-on Data Engineer to help build and maintain the data infrastructure powering our on-chain intelligence and AI systems. You will work across blockchain data pipelines, ETL/ELT workflows, data processing, storage, and analytics infrastructure, ensuring reliable and scalable data flows across multiple networks and protocols.

Key Responsibilities
- Design, build, and maintain scalable data pipelines for on-chain and off-chain data.
- Develop ETL/ELT workflows for blockchain data ingestion and transformation.
- Work with large datasets and optimize data processing and storage.
- Integrate data from multiple blockchains, protocols, APIs, and external sources.
- Maintain data quality, consistency, monitoring, and pipeline reliability.




- Collaborate with Engineering, Product, and AI teams to support data requirements.
- Help develop and improve our data architecture, schemas, and analytics infrastructure.
- Troubleshoot pipeline issues and improve system performance.

Requirements
- 1-3 years of experience in data engineering, backend engineering, or a related field.
- Strong SQL skills and experience working with databases.
- Experience building and maintaining data pipelines.
- Proficiency in Python or another data engineering language.
- Understanding of ETL/ELT concepts and data processing workflows.
- Solid analytical and problem-solving skills.
- Ability to work independently in a fully remote environment.

Nice to Have
- Experience with blockchain or on-chain data.
- Familiarity with ClickHouse, Kafka, Spark, MinIO, or Google Cloud.
- Experience with data lakes, data warehouses, or distributed data systems.
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📌 Data Engineer (Delhi)
🏢 Panorama Block
📍 Delhi