Senior Data Engineer at Solana Foundation collaborating with blockchain engineers on data indexing and pipeline creation. Ensuring efficient data processing and metrics formulation for decentralized applications.
Responsibilities
Collaborate with blockchain engineers to index blockchain data and create robust data pipelines
Efficiently parse and index a variety of data formats, ensuring high performance and low latency
Document technical processes and solutions to ensure knowledge sharing across the team
Work with the Solana Improvement Document process to make sure updates are smooth and don’t see regressions during testing or in live environments
Help gather and formulate scores for informative metrics like decentralization scores, transaction inclusion performance, and economics
Requirements
5+ years of experience in data engineering, software engineering, or related roles
Strong understanding of data structures, algorithms, and efficient data processing techniques
Familiarity with blockchain technologies, including transaction data, smart contracts, and consensus mechanisms
Strong understanding in one of the following big data frameworks: Spark, Iceberg, Polars, or Delta-rs
Especially beneficial if you have experience with Solana data and the Solana ecosystem
Proficient in big data and pipelining (Clickhouse, Databricks, Snowflake, BigQuery, and Kafka, Rabbit MQ, Pub/Sub)
Experience with distributed data systems and cloud platforms (AWS, GCP, or Azure)
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