Data Engineer, Explorer & Data Products
We are looking for a data engineer to join our engineering team to build the next generation Blockchain Explorer and related Data Products. This is an...
We are looking for a data engineer to join our engineering team to build the next generation Blockchain Explorer and related Data Products. This is an opportunity to develop one of the most popular and visited websites in the crypto ecosystem. In this role you will be responsible for delivering the infrastructure and data pipelines to power future block explorers and crypto data aggregation products.
Our engineering teams are involved in all aspects of the product lifecycle, from idea generation, design, prototyping, planning, execution and shipping. As a senior software engineer you should lead by example - driving the technical discussions, influencing the approach and making a positive impact on the team's development by advocating the best engineering practices.
WHAT YOU WILL DO
- Maintain and evolve the current data lake infrastructure and look to evolve it for new requirements
- Maintain and extend our core data infrastructure and existing data pipelines
- Provide best-practices and frameworks for data testing and validation and ensure reliability and accuracy of data
- Complement our data scientists by providing a reliable, secure and maintainable modelling framework that can be used to easily deploy models to production
- Design, develop and implement data visualization and analytics tools and data products
WHAT YOU WILL NEED
- Bachelor’s degree in Computer Science, Applied Mathematics, Engineering or any other technology related field
- Previous experience working in a data engineering role
- Fluency in Python
- Previous experience with ETL pipelines
- Experience working with Google Cloud Platform
- In-depth knowledge of SQL and no-SQL databases
- Experience with Git
NICE TO HAVE
- Experience with Airflow or Google Composer
- Experience with other programming languages, like Java, Kotlin or Scala
- Experience with Spark or other Big Data frameworks
- Experience with distributed and real time technologies (Kafka, etc..)
COMPENSATION & PERKS
- Unlimited vacation policy; work hard and take time when you need it.
- Unlimited learning policy; order the technical resources you need or simply pick something up from our company library.
- Apple equipment.
- Full-time salary based on experience and meaningful equity in an industry-leading company
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