🛠 Tech Stack

💼 About This Role

You'll build data automation pipelines and collaborate with data science teams to develop scalable data products. Your work will drive timely data delivery across teams, impacting millions of users daily.

🎯 What You'll Do

• Build infrastructure and data automation pipelines to ingest and process data.
• Collaborate with stakeholders and data science teams on data products.
• Create unit and stress tests to monitor technical performance.
• Develop data analysis tools and maintain technical documentation.

📋 Requirements

• 7+ years of experience in data engineering in a production environment.
• 5+ years of programming experience in Python.
• 5+ years in big data ecosystems with Spark (PySpark preferred).
• 2+ years of experience with AWS scalable systems.

✨ Nice to Have

• Experience with non-relational databases (DynamoDB, Elasticsearch).
• Bachelor's degree in Computer Science, Information Systems, or related field.

🎁 Benefits & Perks

• 💰 Bonus and equity plans
• 🏥 100% medical/dental/vision coverage
• 🏖️ Unlimited PTO
• 📈 Merit-based salary increases
• 🏆 Great company culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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