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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
The Block | Remote | $80k - $95k | |||
TaxBit | Washington, United States | $76k - $80k | |||
Coinmarketcap | Taipei, Taiwan | $95k - $110k | |||
Gemini | Singapore, Singapore | $72k - $100k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
SwissBorg | Remote | $72k - $80k | |||
Luno | Cape Town, South Africa | $76k - $100k | |||
Gemini | Remote | $120k - $168k | |||
SFOX | Chicago, IL, United States | $76k - $183k | |||
OKX | Singapore, Singapore | $75k - $110k | |||
Coinbase | United States | $201k - $237k | |||
Luno | Cape Town, South Africa | $106k - $165k | |||
Animoca Brands Limited | Flexible | $22k - $60k | |||
Shakepay | Montreal, Canada | $92k - $156k | |||
Chainalysis | Canada | $84k - $88k | |||
Chainalysis | Toronto, Canada | $105k - $186k |
Senior Data Engineer (Europe)
Remote within Europe
P&E – Product & Engineering /
Full-time
/ Remote
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Company Overview: Founded in 2018 and headquartered in New York City, The Block has rapidly emerged as a key player in the digital asset domain, offering research, analysis, and news. Our global team provides round-the-clock coverage of the cryptocurrency landscape, merging insights from the digital assets sector with traditional finance, technology, government, and markets. Our reach extends to a diverse audience via our website, The Block Pro, podcasts, and events.
Job Description:
You will be responsible for managing, securing, and scaling our ETL infrastructure in AWS and GCP. You will also provide development support for various backend systems such as our CMS/API and ETL data pipeline.
An effective Data Engineer should be able to effectively communicate with the Product & Engineering team while developing/maintaining ETL pipelines that support our data and analytics product efforts. The ideal candidate must be able to prioritize tasks and complete them in a timely manner.
Key responsibilities
- Collaborate with our engineers, researchers, executives, and designers to develop new data capabilities using database systems (SQL, PostgreSQL) and data warehousing solutions within AWS and GCP.
- Process unstructured data into structured and clean data.
- Collaborate with our DevOps and Research teams to leverage ETL systems to help users analyze data relevant to a specific business problems.
- Utilize data APIs to enable data scientists and analysts to query important data.
- Maintain the security and health of our data pipelines.
- Conduct code reviews and engage in pair programming within the Agile Development lifecycle.
- Contribute to CMS development and other backend systems using PHP and/or Python.
- Work with MWAA (Airflow) and Redash.
Qualifications
- 7 or more years experience in data pipeline engineering.
- Familiarity with programming languages such as Python and Scala.
- Knowledge about source control software such as git.
- Knowledge of the workings of Redis, Redshift, and BigQuery.
- Experience in Business Intelligence products such as Google Data Studio, Looker, Domo, or Tableau.
- Experience using development environments such as Docker, Vagrant, Virtual Box or similar platform.
- Knowledge of algorithms and data structures to support data filtering and data optimization.
- Strong familiarity with Unix / Linux operating systems and general command-line knowledge.
- Knowledge of digital assets, crypto, and blockchain technologies.
Nice to have
- Experience with CI/CD tools to support developer lifecycle.
- Collaborate with our engineers to build and maintain infrastructure required for feature development.
- Provide development support for CMS and other backend systems.
- Familiarity managing data pipelines in cloud infrastructure in AWS or other cloud providers (Azure, GCP.)
- Familiarity with AWS infrastructure suite (ECS, Elasticache, RDS, ALB, EC2, IAM, Cloudsearch) or other distributed systems.
- Familiarity managing resources with IaC tools such as Terraform, Ansible, Puppet, or Chef.
- Knowledge of building Docker images.
- Industry-standard certifications.
- Experience with the Atlassian suite.
- Proficiency in scripting.
$80,000 - $95,000 a year
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What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.