Data Engineer / Senior Data Engineer
ArcadiaSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Internship, Senior (5 to 8 years)Experience Level
InternshipJob Type
UnknownVisa
CryptocurrencyIndustries
Requirements
- Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field (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
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
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What programming languages and skills are required for this Senior Crypto Data Engineer Intern role?
The role requires 3+ years of Python, Java or any programming language development experience, 3+ years of SQL & No-SQL experience, expert proficiency in SQL, NoSQL, Python, C++, Java, R, experience with schema design and dimensional data modeling, building Data Lake or Data Warehouse, and expert knowledge in AWS Cloud.
Is this a remote position or does it require office work?
This information is not specified in the job description.
What is the compensation or salary for this internship?
This information is not specified in the job description.
What does Token Metrics do and what is their focus?
Token Metrics helps crypto investors build profitable portfolios using artificial intelligence-based crypto indices, rankings, and price predictions, serving a diverse set of customers from retail investors to crypto fund managers in more than 50 countries.
What makes a strong candidate for this Senior Crypto Data Engineer Intern position?
Strong candidates will have a Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering or related field (Master's is a plus), excellent analytical and problem-solving skills, a knack for independence and group work, and capacity to manage a pipeline of duties with minimal supervision.
Token Metrics
Cryptocurrency investment platform using machine learning
About Token Metrics
Token Metrics is a cryptocurrency investment platform that uses machine learning to help users identify profitable investment opportunities and avoid scams. It offers services like cryptocurrency reviews, price predictions, and in-depth analysis, catering to both novice and experienced investors. The platform operates on a subscription model, providing access to premium features such as a private investor group and webinars. The goal of Token Metrics is to make crypto investing more accessible and less risky for its clients.
Austin, TexasHeadquarters
2018Year Founded
$1.8MTotal Funding
EARLY_VCCompany Stage
Data & Analytics, Fintech, Crypto & Web3Industries
11-50Employees
Risks
Ian Balina's SEC issues could harm Token Metrics' reputation.
Privacy coin regulations may limit Token Metrics' analysis capabilities.
High-risk project involvement could expose Token Metrics to reputational damage.
Differentiation
Token Metrics uses AI and machine learning for crypto investment insights.
The platform offers exclusive access to private investor groups and webinars.
Token Metrics provides back-tested 30-day price predictions and IEO ratings.
Upsides
Growing DeFi interest boosts demand for Token Metrics' analytics services.
AI-driven trading bots present integration opportunities for Token Metrics.
NFT popularity allows expansion of Token Metrics' NFT analytics services.
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