🛠 Tech Stack

💼 About This Role

You'll build and optimize scalable data pipelines on an AWS lakehouse platform using Apache Iceberg, Glue, Athena, dbt, and Airflow. You'll collaborate with senior engineers to deliver production-grade data solutions for analytics and operational use cases.

🎯 What You'll Do

• Develop and maintain batch data pipelines
• Build reusable ingestion and transformation workflows
• Optimize Athena queries and troubleshoot performance bottlenecks
• Support production issue troubleshooting

📋 Requirements

• 4–5 years of experience in data engineering
• Strong hands-on experience with Python, SQL, PySpark/Spark
• Experience with AWS S3, Glue, Athena
• Experience with DBT and Airflow

✨ Nice to Have

• Familiarity with Apache Iceberg / Hudi / Delta
• Understanding of partitioning and Parquet optimization

🎁 Benefits & Perks

• 🏖️ Remote-friendly culture
• 📈 Growth-oriented environment
• 🤝 Collaborative team
• 💡 AI-powered healthcare platform

📨 Hiring Process

Estimated timeline: 2-4 weeks

1. 1Connect with Talent Acquisition· 30 min
2. 2Technical Round 1· 1 hour
3. 3Technical Round 2· 1 hour
4. 4Final Round· 1 hour