Python Architect

Design and Develop Applications: Create and maintain software application architectures that meet business requirements.

Data Management: Lead data modelling, data integration, and data governance efforts to ensure data quality and consistency.

Collaboration: Work closely with stakeholders, software developers, and IT teams to plan and execute projects.

System Integration: Ensure the compatibility and integration of software components and data systems.

Performance and Quality: Monitor and enhance the performance, quality, and responsiveness of applications.

Documentation: Develop and maintain architecture models, documentation, and guidelines.

Issue Resolution: Identify and resolve application and data issues promptly.

Required

Skills

Proficiency in modern data processing technologies (along with Meta data driven data modelling) and application development frameworks, programming knowledge, OOPs concepts, RDBMS, Knowledge of agile development methodologies, Experience with data orchestration and pipeline tools. Cloud platform expertise (Preferably Google cloud platform), any programming background is necessary.

• Expertise in database technologies (e.g., SQL, NoSQL, PostgreSQL, MongoDB) and DB Cache
• Understanding of microservices architecture and RESTful API design (python API knowledge).
• Proficiency in front-end and back-end development frameworks (e.g., React, Angular, Node.js).
• Familiarity with CI/CD pipelines and DevOps practices.
• Knowledge of security best practices and tools (e.g., IAM, encryption, firewalls).