🛠 Tech Stack

💼 About This Role

You'll build data infrastructure and automation pipelines to transform data into actionable insights that drive decision-making across teams. Your expertise will enhance data delivery and governance using leading technologies.

🎯 What You'll Do

• Build data automation pipelines to ingest, process, and load data.
• Collaborate with stakeholders and data science teams on data products.
• Create unit and stress tests to monitor technical performance.
• Develop data analysis tools to provide insights and metrics.

📋 Requirements

• 7+ years of experience in data engineering in production.
• 5+ years programming in Python.
• 5+ years in big data ecosystems with Spark (PySpark preferred).
• 3+ years of experience with SQL and dimensional data modeling.

✨ Nice to Have

• Experience with AWS scalable distributed systems.
• Dataflow orchestration with Airflow.
• Experience with non-relational databases like 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 and collaboration

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Final Round· 60 min