🛠 Tech Stack

💼 About This Role

You'll design and scale the data infrastructure for Placer.ai's location analytics platform, processing vast datasets. You'll optimize pipelines for performance and reliability, directly impacting how businesses understand physical spaces. This role offers ownership of critical systems in a high-growth unicorn.

🎯 What You'll Do

• Design and build scalable data pipelines.
• Implement data validation and cleansing techniques.
• Optimize data processing and storage performance.
• Manage cloud infrastructure on GCP and AWS.

📋 Requirements

• 5+ years of software development experience with 3+ as Data Engineer.
• Spark expertise with hands-on pipeline development.
• Proficiency in PySpark or Scala for Spark development.
• Cloud platform experience (AWS, GCP, or Azure).

✨ Nice to Have

• Geospatial domain experience.
• Familiarity with Hadoop ecosystem, Parquet, Delta.
• Experience with Apache Airflow.

🎁 Benefits & Perks

• 💰 Competitive salary
• 🏖️ Excellent benefits
• 🚀 Work with top-tier talent
• 📈 Central role in a unicorn startup

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3System Design Interview· 60 min
4. 4On-site (Team Fit)· 45 min
5. 5Offer· N/A