Nagarro is hiring a
Associate Principal Engineer, Python Data Engineer

Summary

Join our team at Nagarro as we scale and build digital products! We're looking for experienced data engineers with strong Python skills to deliver projects on AWS technologies. If you have experience in ETL, data warehousing, and business intelligence, and excellent problem-solving skills, we want to hear from you!

Requirements

• Experience: 10+ Years
• Strong experience in delivering data engineering projects with Python
• Strong proficiency in Python for data analysis and scripting
• Hands-On experience in AWS technologies (Azure ADF, Synapse etc.)
• Have strong knowledge in ETL, Data warehousing, Business intelligence
• Proficient in designing and developing data integration workflows
• Strong experience with Azure Synapse Analytics for data warehousing
• Solid experience with Databricks for big data processing
• Experience in managing complex and technical development projects in the areas of ETL, Datawarehouse & BI
• Excellent problem-solving skills, strong communication abilities, and a collaborative mindset
• Relevant certifications in Azure or data engineering are a plus

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