Data Engineer

  • Date: 26 May 2024
  • Location: Remote
  • Work Type: Permanent / Full Time
  • Remote role
  • Design ,build and maintain Data pipelines from Blockchain
  • Lead and scope large technical projects
The company is looking for a Senior Data Engineer to help build out our suite of
analytics products. As a member of the Data Engineering Team, you’ll work closely with the world’s leading blockchain protocols, developing real-time data pipelines to ingest their data, and identify actionable insights that will help them grow. In this role, you will also play a leading part in continuing to
build out our unique blockchain parsing technology, Chainwalkers.

The engineering team has extensive expertise across data pipelining, distributed databases, at-scale web applications, large-scale front-end applications and data visualisations. They work relentlessly towards our goals, and care a great deal about building quality products with a talented, authentic team.

  • Design, build and maintain real-time data pipelines that process blockchain transactions from dozens of different blockchain networks.
  • Develop data models that translate complex, esoteric blockchain data into standardised formats that are analytics-ready.
  • Design automated systems that evaluate and parse the results of smart contract calls.
  • Work alongside the Data Science team to curate and prototype new data-sets to tackle emerging problems.
  • Lead and scope large technical projects.
  • Productionalise time-series metrics for our partners and product teams.
  • Develop systems to monitor the integrity and uptime of data.

  • You possess a strong technical background that includes 5+ years of experience working in a senior engineering position with data infrastructure/distributed systems.
  • Strong familiarity with blockchain and cryptocurrencies
  • You have a high bar for the quality of data, the quality of code and ultimately an attention to detail.
  • You have experience writing, maintaining and debugging ETL jobs that leverage distributed data frameworks such as Spark, Kafka and Airflow.
  • You are comfortable with the command line, and are not afraid to get your hands dirty with infrastructure and ops when required.
  • You have extensive experience working with Spark.
  • You have worked with languages such as Python, Scala and Go.
  • You have extensive experience working with data warehouses/lakes such as AWS Redshift and Delta Lake.
  • You are capable of gluing together different services and tools, even if you haven’t previously worked with them.
  • You have worked in an agile sprint-based manner.
  • You are relentless when tasked with solving hairy technical challenges.

Remuneration and benefits: 
  • Better than market rate with equity plan
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