Data Engineer

using data analysis and data SaaS (Amplitude, Mixpanel, etc.)

Experience in data analysis based on machine learning Experience building advertising dashboards/back offices Experience in ML model serving/MLOps.

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 ).

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.)

using data analysis and data SaaS (Amplitude, Mixpanel, etc.)

Experience in data analysis based on machine learning Experience building advertising dashboards/back offices Experience in ML model serving/MLOps.

Salary & Benefits:

• Full-time Position
• Salary range is $105,000 - 160,000 yr depending on experience

• Health, Dental, and Vision Insurance