🛠 Tech Stack

💼 About This Role

You'll architect and implement scalable backend services using Java and Spring Boot, and build efficient data pipelines on modern platforms like Spark and Snowflake. You'll collaborate across teams to drive data-driven improvements for leading global brands.

🎯 What You'll Do

• Architect and implement clean, modular backend services using Java and Spring Boot.
• Design efficient database schemas and write optimized SQL queries.
• Integrate Kafka or RabbitMQ for event-driven architectures.
• Build and maintain ETL/ELT data pipelines using Spark, Airflow, Snowflake.

📋 Requirements

• 4+ years of hands-on experience in data engineering or backend development.
• Strong expertise in Java and Spring Boot ecosystem.
• Solid understanding of Relational Databases (MySQL, PostgreSQL).
• Proficiency with Python, SQL, and a data pipeline orchestration tool like Airflow.

✨ Nice to Have

• Familiarity with DevOps practices (Docker, Kubernetes, CI/CD).
• Exposure to AI/ML-integrated solutions.
• Knowledge of data security regulations (GDPR, HIPAA).

🎁 Benefits & Perks

• 🚀 Work with cutting-edge AI technologies
• 🌍 Remote-first culture
• 🏢 Backed by top venture firms
• 📈 Opportunity to scale global brands

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min