Data Engineer, Qloo
$120-150k
+ Equity
AI-powered recommendation API
Be an early applicant
AI-powered recommendation API
21-100 employees
Be an early applicant
$120-150k
+ Equity
21-100 employees
Company mission
To understand culture and taste on a global basis.
Role
Who you are
- 2 - 5 years of experience in data engineering
- Bachelor's degree in computer science, software engineering, or a related field
- Experience with SQL. Experience with Spark would be preferred,but not a requirement
- Experience with automating data processing through Python libraries like Airflow
- Strong problem-solving and analytical skills with keen attention to detail
- Experience with AWS or other cloud platforms
- Ability to manage multiple projects simultaneously and meet tight deadlines
What the job involves
- Reporting to the Director of Data Engineering, you’ll work cross-functionally across the Engineering organization to emphasize designing and optimizing data processing systems for maximum performance, efficiency, and accuracy
- Our team is composed of top-notch engineers and scientists who are passionate about creating data-driven solutions that make a lasting impact
- We are a growing team dedicated to advancing Taste AI
- You’ll be playing a pivotal role in creating robust data pipelines that power Taste AI and make the results accessible through our API
- You will be responsible for understanding the intricacies of the data sources to architect, develop, and improve our automated data pipelines
- Designing, developing, and maintaining automated data pipelines on Airflow using Python, PySpark, and SQL (Presto/Trino)
- Ensuring data quality by being proactive in catching and rectifying quality issues in underlying data
- Collaborating with data scientists and other engineers to define data requirements and structures
- Writing unit tests and conducting system testing to ensure the reliability and integrity of data
- Optimizing data pipelines for maximum speed, scalability, and accuracy
- Staying up to date with emerging trends and technologies in data engineering, data processing, distributed computing, and data quality assurance
Our take
Powered by artificial intelligence, Qloo is aiming to understanding taste and cultural correlations. While giants like Spotify, Expedia and Netflix dominate their sectors, they inadvertently create "data silos", where valuable information remains isolated. A unified system, however, could help understand and predict diverse personal tastes across various domains.
To confront this, Qloo provides companies with AI-generated correlation data spanning numerous cultural and entertainment domains. Leveraging its platform, a user's taste in one category or genre can seamlessly inform recommendations in another, leading to more personalized experiences. For example, Starbucks is using Qloo to create in-store music playlists tailored to specific neighborhoods, enhancing customer engagement.
With an influx in funding over 2023 and 2024, Qloo plans to introduce an accessible self-service interface, aiding small and mid-sized enterprises in charting consumer and taste analytics. Additionally, it has introduced the "multi-person recommendation AI", capable of matching profiles based on individual preferences stored in its database, which further solidifies its position as a leader in personalized recommendation solutions.
Steph
Company Specialist at Welcome to the Jungle
Company
Company benefits
- Health insurance, retirement plan, and paid time off
- Opportunities for professional development and growth
- A collaborative and supportive work environment where your ideas are valued and your contributions recognized
- Flexible work arrangements - we encouraging employees to maintain a well-rounded lifestyle
Company HQ
Bowery, New York, NY
Leadership
Alex Elias
(CEO)Previously served as a Principal at APE Capital for 4 years before founding Qloo in 2012.
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