🛠 Tech Stack

💼 About This Role

You'll design, build, and optimize a high-velocity AWS data ecosystem that transforms raw financial data into reliable, AI-ready assets. You'll bridge the gap between raw business data and actionable intelligence for Finance and cross-functional teams.

🎯 What You'll Do

• Design and maintain automated ETL/ELT pipelines from diverse sources
• Implement scalable data models for complex financial reporting
• Lead transition from legacy processes to automated pipelines using Python and AWS
• Optimize data ingestion throughput and query performance

📋 Requirements

• 4+ years experience in data engineering or data architecture
• Advanced SQL ability to write complex, performant queries
• Strong Python proficiency for data engineering and API integrations
• AWS mastery with hands-on experience using S3, Glue, Redshift, Lambda, or Athena

✨ Nice to Have

• Master's degree in a technical discipline
• Experience with generative AI tools (ChatGPT, Copilot, etc.)