🛠 Tech Stack

💼 About This Role

You'll design and build scalable data pipelines to handle large volumes of data from various sources. You'll unify our data pipeline with an event taxonomy and normalization layer to ensure high-quality data for machine learning models. You'll have a huge impact on our product, culture, and building something great from the ground up.

🎯 What You'll Do

• Design and build scalable data pipelines.
• Develop event taxonomy and normalization layer.
• Maintain workflows using Airflow, dbt, and Spark.
• Optimize data retrieval and data models.

📋 Requirements

• 5+ years experience in data engineering.
• Expertise in Python and SQL for data processing.
• Proficiency with DAG tools such as Airflow, dbt, or Dagster.
• Experience with cloud platforms like AWS, GCP, or Azure.

✨ Nice to Have

• Background in data science or machine learning.
• Experience with A/B testing frameworks in big data environments.
• Knowledge of MLOps practices and tools.

🎁 Benefits & Perks

• 🏖️ Remote work with occasional in-person meetings
• 💰 Competitive compensation (estimated)
• 📈 Huge impact on product and culture

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical screen· 60 min
3. 3Team interview· 45 min