Data Engineer
200 Varick St #802, New York, NY 10014
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
Momenti
We’re an immersive media platform that allows you to make and send interactive videos to anyone.
Company Intro:
Our world is immersive and visceral. Content today is static and boring. We are Momenti, video that you interact with, bringing visceral experiences to all content. Build deeper connections and emotions with multi-dimensional video, and bring life to content by breaking the 4th wall. Join the content revolution! The world is alive, and so should your captured moments. Momenti is here.
Momenti is a startup with technologies for creating and playing Gesture Interactive Video (GIV) that responds to user gestures. We are developing service software that enables content creation, editing, and playback based on our unique media model and providing these services to users worldwide. We are also developing data analysis technologies to analyze and visualize user gestures to improve the quality and service of media content (you can experience the technology demo on our website https://momenti.tv ).
Job summary:
Collect, analyze, and visualize gesture interaction data generated by users worldwide in real time and derive insights to improve the content usage experience based on this data. We are building a data pipeline, operating data storage, and improving query efficiency to convert data into value and deliver it with Momenti. We are looking for engineers who can participate with us.
Job Responsibilities:
Building and operating a data analysis pipeline
Building and operating a data pipeline for monitoring systems for managing indicators (business, product)
Working based on Cloud Pubsub for streaming
Analyzing user data and deriving business insights
Funnel Analysis, Heatmap Analysis, etc.
MLOps, developing and operating machine learning models
Tech Stack Requirements:GCP, Cloud PubSub, BigQuery Cloud SQL (PostgreSQL), Cloud Storage, DBT, Metabase, Grafana
Qualifications:
Bachelor's degree in computer science, software engineering, information technology, or a related field
Experience in building and operating a data pipeline on a cloud platform
Programming experience for automation (Python, Go, etc.)
Experience using data analysis and data SaaS (Amplitude, Mixpanel, etc.)
Preferred Qualifications
Experience in data analysis based on machine learning
Experience building advertising dashboards/back offices
Experience in ML model serving/MLOps.
Our world is immersive and visceral. Content today is static and boring. We are Momenti, video that you interact with, bringing visceral experiences to all content. Build deeper connections and emotions with multi-dimensional video, and bring life to content by breaking the 4th wall. Join the content revolution! The world is alive, and so should your captured moments. Momenti is here.
Momenti is a startup with technologies for creating and playing Gesture Interactive Video (GIV) that responds to user gestures. We are developing service software that enables content creation, editing, and playback based on our unique media model and providing these services to users worldwide. We are also developing data analysis technologies to analyze and visualize user gestures to improve the quality and service of media content (you can experience the technology demo on our website https://momenti.tv ).
Job summary:
Collect, analyze, and visualize gesture interaction data generated by users worldwide in real time and derive insights to improve the content usage experience based on this data. We are building a data pipeline, operating data storage, and improving query efficiency to convert data into value and deliver it with Momenti. We are looking for engineers who can participate with us.
Job Responsibilities:
Building and operating a data analysis pipeline
Building and operating a data pipeline for monitoring systems for managing indicators (business, product)
Working based on Cloud Pubsub for streaming
Analyzing user data and deriving business insights
Funnel Analysis, Heatmap Analysis, etc.
MLOps, developing and operating machine learning models
Tech Stack Requirements:GCP, Cloud PubSub, BigQuery Cloud SQL (PostgreSQL), Cloud Storage, DBT, Metabase, Grafana
Qualifications:
Bachelor's degree in computer science, software engineering, information technology, or a related field
Experience in building and operating a data pipeline on a cloud platform
Programming experience for automation (Python, Go, etc.)
Experience using data analysis and data SaaS (Amplitude, Mixpanel, etc.)
Preferred Qualifications
Experience in data analysis based on machine learning
Experience building advertising dashboards/back offices
Experience in ML model serving/MLOps.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
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Category:
Engineering Jobs
Tags: Amplitude BigQuery Computer Science Content creation Data analysis dbt Engineering GCP Grafana Machine Learning Metabase ML models MLOps PostgreSQL Python SQL Streaming
Perks/benefits: Startup environment
Region:
North America
Country:
United States
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