🛠 Tech Stack

💼 About This Role

You'll develop and maintain scalable data pipelines and enhance data models for an organization that values data-driven decisions. Your expertise in Azure cloud solutions will directly influence success and culture.

🎯 What You'll Do

• Develop and maintain scalable data pipelines.
• Enhance data models for improved performance.
• Provide subject matter expertise in data acquisition.
• Champion best practices in cloud-based data solutions.

📋 Requirements

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

✨ Nice to Have

• Experience with Delta Lake features such as schema evolution
• Hands-on experience with batch and 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 screen· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min

🚩 Heads Up

• Requires 10+ years experience but job title says 'Lead' (senior role)