🛠 Tech Stack

💼 About This Role

You'll develop and maintain data pipelines using AWS services like Glue and EMR, collaborating with teams to design solutions. Your work will optimize data models and pipelines for end-user querying. This role offers remote flexibility and exposure to cutting-edge AWS technologies.

🎯 What You'll Do

• Develop and maintain data pipelines using Amazon EMR or Glue
• Create data models and end-user queries using Redshift, Snowflake, Athena, Presto
• Build and orchestrate data pipelines with Airflow
• Write and maintain PySpark and SQL scripts for ETL

📋 Requirements

• 3+ years of experience with PySpark and SQL
• 2+ years building data pipelines with Amazon EMR or Glue
• 2+ years of data modeling using Redshift, Snowflake, Athena, or Presto
• 1+ years of orchestration experience with Airflow

✨ Nice to Have

• AWS Data Analytics Specialty Certification
• Experience with Agile development methodology

🎁 Benefits & Perks

• 🏖️ Remote Work flexibility
• 📈 Training and certification opportunities
• 🤝 Collaborative team environment

📨 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