7 - 10 years

6 - 10 Lacs

Posted:10 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Description

:
  • 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.

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