Similar Jobs
Machine Learning • Natural Language Processing
The Hebrew Linguist manages translation quality and processes, coordinates linguists, performs edits, and ensures client satisfaction while meeting project deadlines.
Top Skills:
Cat ToolsJIRAOffice ApplicationsSdl StudioWindowsXtm
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
The DevOps Engineer leads the design and implementation of CI/CD processes, manages deployment activities, and integrates security into the software development lifecycle, ensuring high-quality software delivery across digital platforms.
Top Skills:
BambooCi/CdContainersDevOpsGitInfrastructure-As-CodeJenkinsJfrog
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead change management processes for the S4/o9 project across MEU, engaging with stakeholders to ensure alignment and adoption of change. Develop and implement strategies to assess change impacts and drive transformation initiatives, while measuring effectiveness through KPIs.
Top Skills:
O9 Planning TransformationSap S/4 Hana
Token Metrics is seeking a multi-talented Back End Engineer to facilitate the operations of our Data Scientists and Engineering team. Back End 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.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
