Data Engineer

Description du poste:

Description

The Role

As a data engineer, you’ll be working alongside our internal research and product teams to expand and optimize our data and data pipeline architecture. You’ll be responsible for supporting the data needs of our analysts on data initiatives and will ensure optimal data delivery architecture is consistent across ongoing research efforts. Your mission is to ensure our analysts can access data in a smooth and seamless way.  
This position is a full-time role. We are currently a remote company and are open to any remote candidates. Our team is distributed around the world and has the processes in place for productive remote work, but we meet up in person as often as possible.

What you'll do

  • Build the infrastructure required for optimal extraction, transformation, and loading of data from different blockchains.
  • You’ll be responsible to assist with coding, designing, deploying, and debugging python/Go tools for data aggregation, processing, and analysis.
  • Further automate internal data analysis processes and level up Messari’s future data science efforts.
  • Collaborate on developing, automating, and supporting pipelines to extract, transform, and load data. 
  • Assist on creating educational content to improve the technical skills of the research team.

Who you are

  • You are familiar with python, SQL (familiarity with Dune Analytics preferred) and version control systems.
  • The ideal candidate has advanced working SQL knowledge and experience building processes supporting data transformation, data structures, and workload management. 
  • Deep understanding of blockchain infrastructure for data extraction from EVM and non-EVM chains is a big plus
  • Familiarity with programming languages (preferably python or Go) and version control software (Git) is required for the position. 
  • A fundamental understanding of protocol mechanisms is required for this position. 

Salary Ranges for this position (depending upon experience):

$125,000 - $185,000



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