Token Metrics 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 for employing various tools and techniques to construct frameworks that prepare information using SQL, Python, R, Java and C++. They will also 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.
Responsibilities:
- Liaise with coworkers and clients to elucidate requirements for each task
- Conceptualize and generate infrastructure for big data access and analysis
- Reformulate existing frameworks to optimize functioning
- Test structures to ensure fitness for use
- Build data pipelines from various sources (API, CSV, JSON, etc.)
- Prepare raw data for manipulation by Data Scientists
- Implement proper data validation and reconciliation methodologies
- Ensure work remains backed up and accessible to relevant coworkers
- Stay up-to-date with industry standards and technological advancements
Requirements:
- Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field (Master's degree is an 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
- Ability to work independently and in groups
- Capacity to manage a pipeline of duties with minimal supervision
Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.