Token Metrics is hiring a
Senior Crypto Backend Engineer in Worldwide

Summary

Token Metrics is seeking a Back End Engineer with at least 3 years of experience in Python, Java, SQL, and NoSQL to facilitate the operations of their Data Scientists and Engineering team. The engineer will be responsible for constructing frameworks using various tools and techniques, employing machine learning techniques, collaborating with coworkers, optimizing existing structures, testing them, building a data pipeline from different sources, preparing raw data for manipulation, implementing proper data validation and reconciliation methodologies, and ensuring backup and accessibility of work. The company is looking for someone with a Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field, excellent analytical skills, independence, and the ability to manage a pipeline of duties with minimal supervision.

Requirements

• Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field
• 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

Preferred Qualifications

Master's degree in a relevant field is an added advantage

Benefits

Not specified