🛠 Tech Stack

💼 About This Role

You'll develop and maintain scalable data pipelines and enhance data models using Azure cloud solutions. Your work will empower 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 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.

🎁 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 Discussion· 45 min