Full-Time

Junior Data Engineer

Posted on 9/22/2024

Qloo

Qloo

11-50 employees

AI-driven consumer preference prediction platform

Data & Analytics
Consumer Software
AI & Machine Learning

Compensation Overview

$70k - $125kAnnually

Entry, Junior

New York, NY, USA

Hybrid position requires in-office presence.

Category
Data Engineering
Data & Analytics
Required Skills
Python
Airflow
NoSQL
Apache Spark
SQL
AWS
Data Analysis
Requirements
  • 1 - 3+ years in Data Engineering or a similar role, with experience building data pipelines from the ground-up
  • Bachelor's degree in computer science, software engineering, or a related field
  • Strong working knowledge of Spark, PySpark, or other data processing frameworks
  • Experience with SQL and NoSQL database technologies
  • 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
Responsibilities
  • Designing, developing, and maintaining automated data pipelines using Python, Spark, PySpark, and related technologies
  • 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

Qloo offers a "Cultural AI" that predicts global consumer preferences and provides contextualized personalization and insights based on a deep understanding of consumer behavior and over 575 million cultural entities. Their privacy-first API and cutting-edge machine learning processes empower companies to uncover connections behind people’s taste in various cultural domains such as music, film, fashion, and dining.

Company Stage

Series C

Total Funding

$67.9M

Headquarters

New York City, New York

Founded

2012

Growth & Insights
Headcount

6 month growth

21%

1 year growth

76%

2 year growth

206%
Simplify Jobs

Simplify's Take

What believers are saying

  • Securing $20M from Bluestone Equity Partners and $25M in Series C funding indicates strong financial health and growth potential.
  • Participation in the Moderne Passport Program provides valuable industry exposure and networking opportunities.
  • Qloo's partnerships with industry leaders like Netflix and Michelin highlight its broad applicability and market acceptance.

What critics are saying

  • The increasing regulatory scrutiny on data privacy could impact Qloo's ability to collect and utilize consumer data effectively.
  • Competition in the AI-driven recommendation space is fierce, with many companies vying for market share.

What makes Qloo unique

  • Qloo leverages AI to understand and predict global consumer tastes, offering a unique edge in personalization and data-driven marketing.
  • The backing of high-profile investors like Leonardo DiCaprio and Elton John adds significant credibility and visibility to Qloo.
  • Qloo's focus on cultural AI sets it apart from other AI firms that may not specialize in this niche.

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