Senior Staff Engineer, Data Engineer

Summary

Join Nagarro as a Data Engineer and contribute to building products, services, and experiences that inspire and delight. As a key member of our team, you will work on data integration and warehousing projects, leveraging your expertise in Azure, Snowflake, SQL, and Git.

Requirements

• Experience: 11+ Years
• Proven experience as a data engineer with a focus on data integration and warehousing
• Strong proficiency in Azure for cloud-based data management
• Hands-on experience with Snowflake for data warehousing and analytics
• Familiarity with SQL and ability to write complex queries
• Understanding of data modeling concepts and best practices
• Experience with version control systems like Git
• Ability to work in an Agile development environment
• Strong problem-solving skills and attention to detail
• Excellent communication and collaboration skills
• Bachelor’s or master’s degree in computer science, Information Technology, or a related field

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