Amazon Web Services (AWS), Apache Kafka, Apache Spark, Application Servers, Big Data, Computer Programming, Concurrency, Concurrent Programming Language Family, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Management, Data Processing, Database Extract Transform and Load (ETL), DevOps, Develop and Maintain Customers, Functional Testing, GCP (Good Clinical Practices), Geography, Jenkins, Loans, Microsoft Windows Azure, Multithreaded Programming, On Call, Public Cloud, Python Programming/Scripting Language, Sales Pipeline, Scala Programming Language, Software Development, Software Engineering, Team Player, Unit Test, Web Server
Python Engineer
Experian is building an orchestration engine that helps build real-time offers for customers on loans and other financial offerings. They don't need any database interaction for this team, so the entirety of the position is middle-tier, application layer processing. There is no batch processing required for this position.
The manager understands that a lot of Python Developers do data pipeline work as part of their job, as he used to do it too. But he wants candidates to be more focused on core software engineering concepts like multithreading, asynchronous programming, IO, etc. Any resumes where the first few bullet points are related to data pipeline development or ETL will likely not work.
THERE WILL BE AN ONSITE INTERVIEW, and the Manager will ask the candidates to explain multithreading and asynchronous programming as part of the screening. Qualified candidates will need to have some focus only middle-tier development.
Experian is seeking solid core programmers, with true hands-on development experience, working on applications with Python, not data. We need to find candidates who are more involved with app programming than data and can shift their approach to explain their application focused experience during the interview.
This role will require local candidates who can conduct an onsite interview. CANDIDATES MUST RESIDE IN: Costa Mesa, CA, San Jose, CA, or Allen, TX (Work will be hybrid 1x per week onsite)
Design & build backend components of MLOps platform on AWS. - Collaborate with geographically distributed cross-functional teams. - Participate in on-call rotation with the rest of the team to handle production incidents.
Knowledge, Skills and Experience:
- Python Programming
- AWS Services
- Flask
- Spark Programming knowledge (Pyspark/Scala)
- Async Programming
- boto3
Must Have Skills:
- Must have 5 to 9 years of working experience in Python programming with flask, FastAPI
- Experience working with WSGI & ASGI web servers such as Gunicorn, Uvicorn etc.
- Experience with concurrent programming designs such as AsyncIO.
- Experience with unit and functional testing frameworks.
- Experience with any of the public cloud platforms like AWS, Azure, GCP, preferably AWS.
- Experience with CI/CD practices, tools, and frameworks.
- Should be a team player working with Cross Geography team
Nice to have skills:
- Experience with Apache Kafka and developing Kafka client applications in Python.
- Experience with MLOps platforms such as AWS Sagemaker, Kubeflow or MLflow.
- Experience with big data processing frameworks, preferably Apache Spark.
- Experience with container platforms such as AWS ECS or AWS EKS.
- Experience with DevOps & IAC tools such as Terraform, Jenkins etc.
- Experience with various Python packaging options such as Wheel, PEX or Conda.