Associate Principal Engineer, Python Data Engineer

Summary

Join Nagarro as a Data Engineer and contribute to delivering data engineering projects with Python. You will work on designing and developing data integration workflows, managing complex development projects, and collaborating with developers.

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
• 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