Nagarro is hiring a
Principal Engineer (Data Science)

Summary

Join our dynamic and non-hierarchical team as we scale in a big way! We're looking for great new colleagues to build products, services, and experiences that inspire, excite, and delight. As a cloud architect, you'll work on Azure data services, machine learning, and performance tuning.

Requirements

• Experience: 13+ Years
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
• Proven experience in cloud architecture, particularly on Azure
• Strong background in data science and machine learning
• Proficiency in programming languages such as Python or R
• Experience with Azure data services (e.g., Azure Data Factory, Azure Machine Learning, Azure Databricks)
• Excellent problem-solving and optimization skills
• Strong client interaction and communication skills
• Ability to work collaboratively in a team environment
• Experience with performance tuning and cost optimization in cloud environments

Responsibilities

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements
• Mapping decisions with requirements and be able to translate the same to developers
• Identifying different solutions and being able to narrow down the best option that meets the client’s requirements
• Defining guidelines and benchmarks for NFR considerations during project implementation
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
• Understanding and relating technology integration scenarios and applying these learnings in projects
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken
• Carrying out POCs to make sure that suggested design/technologies meet the requirements