🛠 Tech Stack

💼 About This Role

You'll build data infrastructure and automation pipelines to process data from various sources. Your work will enable timely data delivery and support data science teams in developing products. Join a collaborative team leveraging leading technologies to impact millions of users.

🎯 What You'll Do

• Build data automation pipelines for ingestion and processing.
• Collaborate with stakeholders and data science teams.
• Create unit and stress tests for performance monitoring.
• Develop data analysis tools and maintain documentation.

📋 Requirements

• 7+ years in data engineering in production.
• 5+ years programming in Python.
• 5+ years with Spark in big data ecosystems.
• 3+ years with SQL and dimensional modeling.

✨ Nice to Have

• Experience with AWS distributed systems.
• Experience with Airflow orchestration.
• Experience with DynamoDB or Elasticsearch.

🎁 Benefits & Perks

• 💰 Bonus program and equity plans.
• 🏥 100% medical/dental/vision coverage.
• 🏖️ Unlimited employee PTO.
• 📈 Merit-based salary increases annually.
• 🤝 Great company culture promoting innovation.

📨 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