Associate Principal Python Data Engineer

Summary

Join Nagarro, a Digital Product Engineering company, as a Data Engineer with 10+ years of experience in delivering data engineering projects using Python. You will be responsible for understanding client business needs, designing technical solutions, and leading the development of data integration workflows. You will work with AWS technologies, Azure Synapse Analytics, and Databricks for big data processing. This role requires strong problem-solving skills, excellent communication, and a collaborative mindset.

Requirements

• Total 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
• 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

Preferred Qualifications

Relevant certifications in Azure or data engineering are a plus