🛠 Tech Stack

💼 About This Role

You'll build and maintain data pipelines to improve data reliability, quality, and accessibility for a fast-paced product team. You'll work in an agile Scrum environment to continuously enhance data infrastructure.

🎯 What You'll Do

• Transform large-scale raw data into structured, usable formats
• Design and maintain data architectures, pipelines, and applications
• Build robust ETL processes for data accuracy and availability
• Perform root cause analysis and implement data quality improvements
• Collaborate in agile Scrum sprints to deliver data solutions

📋 Requirements

• 2+ years in data engineering or similar role
• Proficiency in Python and SQL
• Experience with ETL, data warehousing, and scalable systems
• Strong software engineering and Git skills

✨ Nice to Have

• Experience with Docker, Terraform, and AWS (Batch, EMR/Spark)
• Familiarity with GitLab and Scala

📨 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