Technical Skills:

• Notable experience in enterprise software development/Software Engineering (Git, Gitlab, unit tests, etc.)

• Expertise in Python (at least 3.9) and its ecosystem (libraries, Anaconda, Jupyter, VS Code, etc.)

• Expertise in computational libraries and data manipulation (NumPy, Pandas, etc.)

• Expertise in parallelization and performance optimization (Dask, Spark, GPU optimization, Cuda, Cupy, etc.)

• Expertise in industrializing Python developments (development standards, Design patterns, TDD, etc.)

• Ability to understand functional needs and translate them into IT requirements

• Analytical skills

• Creation of Python packages

• DevOps: Jira, CI/CD, Gitlab CI, Jenkins, Artifactory, shell script, Docker, Hashicorp Vault, Jfrog

• Code quality: Fortify, Nexus IQ, Sonarqube

• Databases: Oracle, PostgreSQL, Netezza

• File management: S3, Boto3, IBM COS, Minio

• Data Engineer...