Industry & Sector:
Technology consulting firm operating in the blockchain, fintech and distributed ledger technology (DLT) space. We deliver enterprise-grade DLT integrations, ledger analytics and data engineering solutions for global clients, transforming on-chain and off-chain data into actionable business insights.
Role:
Senior Data Engineer (DLT) — Remote (India)Role & Responsibilities
- Design and build scalable ETL/ELT pipelines to ingest, process and transform on-chain and off-chain ledger data using streaming and batch frameworks.
- Integrate with DLT nodes, RPC endpoints and indexers to capture transactions, blocks and smart-contract events into analytical stores.
- Implement data models and storage patterns (time-series, graph-friendly tables, partitioned fact tables) for analytics, reporting and ML training.
- Optimize pipeline performance and latency using Kafka, Spark and efficient partitioning; enforce schema evolution and data quality checks.
- Build and maintain pipeline orchestration, CI/CD, infrastructure-as-code and observability for production reliability and incident response.
- Collaborate with blockchain engineers, data scientists and product teams; mentor junior engineers and define engineering best practices for DLT data workloads.
Skills & Qualifications
Must-Have
- Python
- Apache Spark
- Apache Kafka
- SQL
- Apache Airflow
- Distributed Ledger Technology
Preferred
- Hyperledger Fabric
- Ethereum
- AWS
Additional Qualifications
- 7+ years of hands-on data engineering experience with demonstrable work on ledger/blockchain data or related domains.
- Experience with cloud data platforms and analytical stores (e.g., Redshift, BigQuery, Snowflake) and productionizing data pipelines.
- Bachelor's or Master's degree in Computer Science, Engineering or equivalent practical experience.
- Comfortable working remotely from India with occasional overlap across global time zones.
Benefits & Culture Highlights
- Fully remote role with flexible working hours and global project exposure.
- Focused opportunity to work at the intersection of blockchain/DLT and data engineering — strong learning and career growth path.
- Supportive consulting culture with mentorship, training budget and hands-on technical ownership.
To apply, submit your resume highlighting relevant DLT and data engineering projects and examples of production pipelines you built or maintained.
Skills: python,apache spark,apache kafka,sql,distributed ledger technology,abelton,delta live tables
