It s a hard core backend role with focus on DB- SQL & NoSQL and cloud- Google Cloud Platform with some experience in FE- React, Angular (only 20%)
Must-Have Skills:
Data Modeling (SQL & No-SQL) , Solution Architecture, PostgreSQL, MongoDB, Google Cloud Platform (Google Cloud Platform), Data Architecture, SQL, NoSQL, Python
High-Value Differentiating Skills:
Demonstrated experience in Performance Tuning, & Optimisation.
Data Pipeline orchestration using Apache Airflow
Knowledge and experience in Data Governance, Schema Design, Microservices, Redis, FastAPI.
Job title: Lead Application Architect
Key Responsibilities: 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).
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