Senior Python and Data Developer - Lead

Requirements:
Must Have:
7+ years of Python development in production environments.
1-2 years of experience managing a team, including leading, delegating, overseeing, and communicating.
Tests - Proven experience writing automated tests with frameworks like Pytest, focusing on unit and integration testing.
Strong understanding of OOP, functional programming, and performance optimization.
Expertise in Pandas, NumPy, and PySpark for large-scale data processing.
Experience with concurrent programming (multithreading, multiprocessing, asyncio).
Proficiency with monitoring tools such as Datadog and CloudWatch, including performance monitoring, log aggregation, alerting, and troubleshooting.
Practical experience working with column-oriented databases like ClickHouse or Redshift, including optimizing complex queries for performance at scale.
Event driven architecture - Hands-on experience with event-driven architectures and message queues (Kafka, SQS, SNS, EventBridge).
Work with AWS services (Lambda, Step Functions, Kinesis, S3, DynamoDB).
Optimize database interactions with SQL and NoSQL (DynamoDB, PostgreSQL, etc.).
Work with ML models, including LLM-based applications (Fine-tuning, inference, optimization).

Nice to Have:
Experience with Infrastructure as Code (AWS CDK, Terraform, Pulumi).
TypeScript knowledge for backend services or infrastructure automation.
Hands-on experience with MLOps and model monitoring.
Exposure to GraphQL and REST API design.