🛠 Tech Stack

💼 About This Role

You'll join a high-performing data engineering team building modern, scalable data solutions on AWS. You'll implement the vision for an enterprise-wide data platform that unlocks data for AI, analytics, and innovation, while championing emerging technologies like Agentic AI and Generative AI.

🎯 What You'll Do

• Implement scalable data solutions aligned with business priorities.
• Build and optimize data ingestion, transformation, and distribution frameworks.
• Integrate AI/ML capabilities into data workflows for enhanced user experience.
• Ensure operational excellence with robust quality controls and reliability.

📋 Requirements

• 3-5 years hands-on data engineering experience, preferably in financial services.
• Proven AWS expertise (S3, EKS, Lambda, Glue, EMR, Redshift, etc.).
• Strong Python for data engineering (Pandas, Spark/PySpark) and API development.
• Experience with ETL/ELT pipelines for batch and streaming (Kafka/MSK).