Senior Data Engineer (Real-time Analytics)

TL;DR

Senior Data Engineer (Real-time Analytics): Building and optimizing a scalable, low-latency streaming platform for real-time data solutions with an accent on data modeling and big data optimization. Focus on designing complex data processing pipelines and solving near real-time data challenges for a global customer base.

Location: Hybrid (Paris, France)

Company

hirify.global is an AI-powered customer communications platform serving over 22,000 companies worldwide.

What you will do

• Design and deliver scalable, low-latency streaming platform solutions for near real-time data.
• Translate business requirements into optimized big data models.
• Optimize slow queries and improve overall system performance.
• Develop clean, scalable code using Scala, Python, and SQL.
• Solve complex real-time data problems using optimal architectures and frameworks.
• Mentor team members through actionable feedback.

Requirements

• Bachelor's degree in Computer Science, Mathematics, or a related technical field.
• 3+ years of experience with near real-time analytics.
• 5+ years of experience with modern programming languages (Scala, Python, Go, or TypeScript).
• Proven experience designing complex data processing pipelines.
• Expertise in data modeling (star schema, dimensional modeling) within AWS Redshift.
• Experience with query optimization and shipping production code.

Nice to have

• Experience with Apache Kafka.

Culture & Benefits

• Competitive salary package including health coverage, lunch, commute, and sports.
• Focus on work-life balance in a fast-learning, entrepreneurial environment.
• Cosmopolitan and multi-cultural workplace with over 45 nationalities.
• Opportunities for growth within a scaling AI unicorn.