🛠 Tech Stack

💼 About This Role

You'll build data infrastructure and automation pipelines to ingest and process data from various sources. You'll collaborate with stakeholders to develop data products that drive actionable insights. Join a collaborative environment with leading technologies impacting millions of users.

🎯 What You'll Do

• Build data automation pipelines to ingest and process data from various sources.
• Collaborate with stakeholders to develop data products aligned with organizational goals.
• Create unit and stress-test components to monitor technical performance.
• Develop data analysis tools to provide insights and capture key metrics.

📋 Requirements

• 7+ years data engineering experience in a production environment.
• Proven experience managing large datasets exceeding 100M+ records.
• 2+ years with AWS scalable distributed systems.
• 5+ years Python programming experience.

✨ Nice to Have

• Experience with PySpark and big data ecosystems.
• Experience with Dataflow orchestration tools like Airflow.
• Experience with non-relational databases like DynamoDB, 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: 2-3 weeks · AI estimate

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