🛠 Tech Stack

💼 About This Role

You'll develop and maintain scalable data pipelines and enhance data models within Azure cloud solutions. Your work will directly influence data-driven decision-making across the organization. This role offers the chance to champion best practices and make a meaningful impact.

🎯 What You'll Do

• Develop and maintain scalable data pipelines
• Enhance data models for improved performance
• Provide expertise in data acquisition and consumption
• Champion best practices in cloud-based data solutions
• Develop reusable code and libraries for ETL processes

📋 Requirements

• 10+ years of practical data engineering experience
• Strong proficiency in Azure Databricks
• Advanced skills in Apache Spark and PySpark
• In-depth knowledge of ETL/ELT processes

✨ Nice to Have

• Experience with Delta Lake features like schema evolution
• Hands-on experience with real-time data processing
• Solid background in data modeling techniques

🎁 Benefits & Perks

• 🏖️ Generous time off including personal and volunteering days
• 📚 Tuition reimbursement and professional development opportunities
• 🏡 Flexible remote work options
• 💰 Charitable contribution matching programs
• 📈 Stock purchase opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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