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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Token Metrics | Manila, Philippines | $106k - $114k | |||
Token Metrics | Jakarta, Indonesia | $106k - $114k | |||
Moonpay | Remote | $27k - $75k | |||
Moonpay | Spain | $98k - $103k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Moonpay | Portugal | $105k - $124k | |||
Moonpay | Portugal | $122k - $123k | |||
Shakepay | Montreal, Canada | $101k - $120k | |||
Big Time | Remote | $126k - $127k | |||
Kiln | Paris, France | $90k - $150k | |||
Ripple | San Francisco, CA, United States | $219k - $219k | |||
CoW Protocol | Lisbon, Portugal | $84k - $150k | |||
Binance | Asia |
| |||
BitMEX | Singapore, Singapore | $84k - $84k | |||
Kraken | United States | $76k - $90k | |||
Binance | Taipei, Taiwan |
|
Token Metrics
$106k - $114k estimated
Senior Crypto Data Engineer (Manila -Remote)
Manila
Astra DAO /
Full-Time /
Remote
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Astra DAO is seeking a multi-talented Senior Big Data Engineer to facilitate the operations of our Data Scientists and Engineering team. The Senior Big Data Engineer will be responsible to employ various tools and techniques to construct frameworks that prepare information using SQL, Python, R, Java and C++. The Senior Big Data Engineer will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field. During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project.
Responsibilities
- Liaising with coworkers and clients to elucidate the requirements for each task.
- Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed.
- Reformulating existing frameworks to optimize their functioning.
- Testing such structures to ensure that they are fit for use.
- Building a data pipeline from different data sources using different data types like API, CSV, JSON, etc.
- Preparing raw data for manipulation by Data Scientists.
- Implementing proper data validation and data reconciliation methodologies.
- Ensuring that your work remains backed up and readily accessible to relevant coworkers.
- Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs.
Requirements
- Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field.
- A Master's degree in a relevant field is an added advantage.
- 3+ years of Python, Java or any programming language development experience
- 3+ years of SQL & No-SQL experience (Snowflake Cloud DW & MongoDB experience is a plus)
- 3+ years of experience with schema design and dimensional data modeling
- Expert proficiency in SQL, NoSQL, Python, C++, Java, R.
- Expert with building Data Lake, Data Warehouse or suitable equivalent.
- Expert in AWS Cloud.
- Excellent analytical and problem-solving skills.
- A knack for independence and group work.
- Capacity to successfully manage a pipeline of duties with minimal supervision.
About Astra DAO
Astra DAO is an automated crypto asset allocator, built on Ethereum to provide advanced investment strategies to retail participants. The innovative model creates a win-win incentive for index investors, creators, and token holders.
Astra DAO simplifies passive investing for retail participants by providing an array of Crypto Indices. Astra DAO aims to help crypto investors compete with quantitative investment funds by finding winning investments and trades.
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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.