Python Developer Contract

1 week geleden


Amsterdam, Noord-Holland, Nederland HCLTech Voltijd
HCL is a $11 billion leading global technology enterprise consisting of over 200,000 professionals operating from 52 countries. Founded in 1976, HCL is one of India's original IT garage start-ups. Role : Python Developer
Amsterdam, Netherlands
Mode : Onsite/Hybrid-2-3 Days Per Week
Mode of Hiring : Please find below the updated Python developers profile that we need.
High and very high hands-on expertise with Python (and as a Python data engineer)
Very good expertise in testing, testing frameworks, debugging tools and definitely test automation
Very good analysis skills, think of IT and business documentation, policies, data
Probably with AppServices and Python.

Seeking a highly skilled Python Developer with expertise in Finance and Risk domain to join our dynamic team. The ideal candidate will have extensive experience in analysing business requirements, designing technical solutions, implementing complex business logic, ensuring seamless transition and optimization of activities within the migration process. The position requires strong proficiency in Python, experience with analytical models, and a solid understanding of data structures and quality. The candidate will oversee end-to-end development, from requirement analysis to deployment, while ensuring robust testing and validation processes.

Requirement analysis:
Analyse and interpret business documents related to Finance and Risk domain, especially corporate credit risk analytical models
Data analysis and understanding. Analyse and interpret data, understand data structures and concepts, assess data quality, identify inconsistencies, and resolve issues as needed.
Develop and maintain scalable and efficient REST API applications using FastAPI or Flask frameworks.
Preferred but not required: design, build, and maintain scalable data pipelines, workflows using Python, PySpark, and Databricks. Enhance the performance by leveraging the capabilities of Python and PySpark.
Testing and Validation:
Conduct thorough testing and validation of implementation to ensure they meet performance and functionality standards, ensuring comprehensive test coverage
Identifies, reports and helps solve potential risks and issues.
Maintain detailed documentation of migration processes, including code changes, testing procedures, and performance metrics.
Collaboration: Work closely with business analysts, modelling team, SAS developers, data scientists, data engineers, and other stakeholders to ensure successful migration and integration of programs.
Training and Support: Provide training and support to team members on the new Databricks, Python/PySpark-based programs.
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