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Crypto Data Engineer (Global-Remote)

extra holidays - extra parental leave
Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
Belgium

Offer summary

Qualifications:

Bachelor's degree in Data Engineering or related field, 3+ years of experience with Python, Java and SQL, Expert proficiency in SQL, NoSQL, Python, C++, Java, and R, Experience in building Data Lake and Data Warehouse.

Key responsabilities:

  • Liaising with coworkers and clients for task requirements
  • Conceptualizing infrastructure for big data analysis
  • Reformulating existing frameworks to optimize functionalities
  • Building data pipelines using various data types
  • Implementing data validation methodologies
  • Remaining updated with industry standards

Token Metrics logo
Token Metrics Startup https://tokenmetrics.com
11 - 50 Employees
About Token Metrics
Token Metrics is a cryptocurrency investment research platform that’s driven by machine learning and artificial intelligence. The company was founded by Ian Balina in 2017 as he traded his way from $20,000 to more than $5 million, logging all his trades in a public-facing spreadsheet that drew more than a million unique visitors per month. Ian’s Moneyball-style approach to crypto investing now forms the basis of the Token Metrics platform, which now helps thousands of customers around the world profitably play the crypto markets. Get our Crypto Investing Guide for FREE at: http://tmt.link/book-li
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Job description

Token Metrics is seeking a multi-talented Big Data Engineer to facilitate the operations of our Data Scientists and Engineering team. The 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 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 Token Metrics

    Token Metrics helps crypto investors build profitable portfolios using artificial intelligence-based crypto indices, rankings, and price predictions. 

    Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.

    Required profile

    Experience

    Level of experience: Mid-level (2-5 years)
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    NoSQLPython (Programming Language)SQL (Programming Language)Amazon Web ServicesJava (Programming Language)R (Programming Language)Machine LearningC++ (Programming Language)Data WarehousingData LakesDimensional ModelingDatabase SchemaMongoDBSnowflake (Data Warehouse)

    Other Skills

    • Problem Solving
    • Teamwork
    • Analytical Skills
    Are you interested?

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