📋 Description

• Deliver complex data platform components or migration solutions independently
• Troubleshoot performance, scalability, and reliability issues
• Contribute to solution design and engineering standards
• Communicate technical topics clearly to peers and stakeholders
• Produce high-quality documentation and implementation reviews

🎯 Requirements

• Strong experience building scalable cloud-native data platforms and pipelines
• Advanced knowledge of modern data lake/lakehouse practices
• Hands-on experience with distributed processing (Spark/PySpark or equivalent)
• Hands-on experience with Databricks, including notebooks, job orchestration, Delta Lake, and Unity
• Experience with streaming or event-driven ingestion patterns
• Python with solid engineering principles (OOP, testing)

🎁 Benefits

• 100% remote work
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools