🛠 Tech Stack

💼 About This Role

You'll design and build reliable data pipelines using AWS, Databricks, and dbt. Your work directly improves data quality and trust across the business. Join a modern data team that values clean, scalable engineering.

🎯 What You'll Do

• Design and implement ELT/ETL pipelines using Airbyte and dbt
• Monitor data assets with Dagster and troubleshoot failures
• Develop and optimize Databricks Delta Lake tables
• Write clean Python scripts for data extraction and automation

📋 Requirements

• 5+ years in a Data Engineering role
• Strong SQL skills with performance tuning
• Hands-on experience with dbt
• Experience with AWS cloud platform

✨ Nice to Have

• Exposure to Databricks and reverse ETL tools
• Experience with orchestration tools like Dagster or Airflow

🎁 Benefits & Perks

• 🏖️ Flexible hybrid work
• 💻 Modern tech stack (AWS, Databricks, dbt)
• 📈 Career growth opportunities
• 🤝 Collaborative team culture

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min