🛠 Tech Stack

💼 About This Role

You'll own data onboarding and build scalable pipelines on Palantir Foundry to power analytics and operational workflows. Your work will enable better investment decisions for global institutional investors. This role offers a chance to ramp up on Foundry with strong Python/PySpark fundamentals.

🎯 What You'll Do

• Ingest datasets from APIs, databases, files, and real-time feeds.
• Build and operate ETL/ELT pipelines using Python, PySpark, and SQL.
• Model data entities and relationships for analytics and operations.
• Implement data quality checks, monitoring, and lineage.
• Collaborate with analysts and product teams on data solutions.

📋 Requirements

• 1-3 years in data engineering with production pipelines.
• Proficiency in Python and PySpark for distributed processing.
• Strong SQL for analytical and transformation logic.
• Experience with data ingestion from APIs, databases, and real-time sources.

✨ Nice to Have

• Experience with Palantir Foundry pipelines and Ontology.
• Familiarity with Databricks or cloud-native compute.
• Exposure to financial data or enterprise operational data.

🎁 Benefits & Perks

• 🏥 Private Medical Insurance
• 💰 Private Provident Fund
• 🏖️ 26 days annual leave plus 5 paid sick leave
• 🍽️ Breakfast and snacks
• 🔄 Flexible hybrid work environment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Application Review· 1-2 weeks
2. 2Phone Screen· 30 min
3. 3Technical Interview· 1 hour
4. 4Onsite/Video Interview· 1.5 hours