
Software Systems Architect
4 days ago
We are looking for a talented Senior Software Consultant to collaborate with our CTO, Software Engineering and Data Science teams to develop cutting-edge features.
Job Description
Responsibilities- Development, release, and maintenance of applications according to business needs
- Designing systems focusing on performance, scalability, and stability
- Build and deploy infrastructure to support applications
- Breaking down tough problems into simple, elegant solutions
- Work in a team of software engineers, data science engineers, and DevOps engineers
- Follow and contribute towards engineering and design guidelines for developing highly scalable, available, and fault-tolerant systems
- Lead code reviews and documentation as well as take on complex bug fixes, especially on high-risk problems
- Mentoring less experienced members of the team and reviewing the work of peers
- Ensuring continuous improvement and development, keeping up with and leveraging new breakthroughs and advances in Machine learning, AI, and Deep learning
Qualifications
- Bachelors/Masters degree in Computer Science or a related field
- Minimum 5+ years of strong coding experience in Python
- Minimum 3+ years of advanced experience building system-critical components in Python
- Hands-on experience designing and building REST APIs and managing inherent challenges
- Strong knowledge and experience of Cloud Technologies (Azure/AWS)
- Data Warehouse design, tools, and techniques
- Some experience with Databricks – this is our primary data store
- Strong data modeling skills – Entity Relationship Diagrams, normalization, de-normalization
- Data loading/integration from multiple sources
- ETL (Extract Transform Load) process
- Data governance and best practices
- Knowledge of Big Data Concepts such as NoSQL databases
- Event Hubs, Cosmos DB, Azure API Management, Azure Kubernetes Services, ADLS Gen 2
- Experience building scalable and high-performance systems
- Good understanding of design patterns across back-end and integration
- Knowledge of data engineering principles and practices
- Experience with data visualization and exploration tools
- Good understanding on Version control tools; Git and Git workflows
- Demonstrated working knowledge of CI/CD (Continuous Integration and Continuous Deployment)
- Experience in complex, large-team technical environments where issues require prompt resolution and strategic actions
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