🛠 Tech Stack

💼 About This Role

You'll build data infrastructure and automation pipelines to ingest, process, and load data from various sources. You'll collaborate with stakeholders and data science teams to develop data products that drive decision-making. Join a dynamic environment leveraging leading technologies like Spark and AWS to impact millions of users.

🎯 What You'll Do

• Build data automation pipelines to ingest, process, and load data.
• Collaborate with stakeholders to develop data products.
• Create unit and stress tests to monitor performance.
• Develop data analysis tools and maintain documentation.

📋 Requirements

• 7+ years of data engineering in production.
• 2+ years with AWS-based distributed systems.
• 5+ years of Python programming.
• 5+ years with big data ecosystems and Spark.

✨ Nice to Have

• Experience with Airflow or similar orchestration tools.
• Familiarity with non-relational databases like DynamoDB or Elasticsearch.

🎁 Benefits & Perks

• 💰 Bonus program and equity plans
• 🏥 100% medical/dental/vision coverage
• 🏖️ Unlimited PTO
• 📈 Merit-based salary increases annually
• 🏦 401(k) with company matching

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3System Design Interview· 60 min