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Applied Scientist II, FinAuto - Amazon.com
Software Engineer
Applied Scientist II focused on building scalable financial transaction systems using Python, AWS, and machine learning to process billions of dollars in data, ensuring accuracy and performance in a distributed architecture.
About the role
Key Responsibilities
- Design, develop, and optimize high‑throughput data pipelines for financial transaction processing using Python and AWS services.
- Apply machine learning techniques to detect anomalies, fraud, and improve reporting accuracy across millions of daily transactions.
- Collaborate with cross‑functional teams to translate complex business rules into scalable, service‑oriented architectures.
- Implement robust data quality checks, monitoring, and alerting to maintain system reliability at scale.
- Leverage SQL and NoSQL databases to store, query, and analyze large volumes of transactional data.
Requirements
- 5+ years of experience in data engineering or applied machine learning in a large‑scale environment.
- Proficiency in Python, AWS (Lambda, S3, Redshift, Glue), and distributed computing frameworks.
- Strong background in SQL, data modeling, and performance tuning.
- Experience with financial data, compliance, and regulatory reporting is a plus.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative setting.
Skills
pythonawsmachine learningsql