Data Engineer - Subscriptions - Remote

Overview

The Data Engineer in the Machine Learning product area will build scalable machine learning solutions aimed at enhancing user engagement through personalized offers and trials, directly impacting key business metrics.

In Short

• Design and build large-scale data pipelines.
• Maintain scalable backend services.
• Mentor other engineers on best practices.
• Collaborate with multi-functional teams.
• Work on optimizing data quality and processes.
• Engage in continuous experimentation and iteration.
• Utilize frameworks like Scio, Dataflow, and BigQuery.
• Implement machine learning models in production.
• Apply knowledge of distributed systems.
• Contribute across different engineering disciplines.

Requirements

• Strong understanding of data and distributed systems.
• Experience in backend/data engineering.
• Familiarity with machine learning concepts.
• Knowledge of JVM-based data processing frameworks.
• Proficiency in Scala and Java; Python is a bonus.
• Curiosity about new technologies and data insights.
• Ability to work in an agile team environment.
• Strong communication skills to collaborate effectively.
• Desire to improve data platforms.
• Experience with data quality optimization.

Benefits

• Flexible work environment with remote options.
• Opportunity to work with cutting-edge technologies.
• Collaborative and innovative team culture.
• Mentorship and professional development opportunities.
• Impactful work that influences key business metrics.