Remote Principal Engineer (Python)

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Nagarro

📍Remote - India

Job highlights

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 designing and implementing cloud architectures, data pipelines, and ETL processes.

Requirements

  • Experience: 13+ Years
  • Strong technical background in data engineering, with a strong focus on Python, cloud architecture, and data pipelines
  • Advanced skills in Python for data processing and automation
  • Proficiency in designing and implementing cloud architectures on AWS
  • Experience in designing and managing data pipelines for unstructured data
  • Strong knowledge of ETL processes and tools
  • Experience with data warehousing solutions and best practices
  • Proficiency in using AWS services such as S3, Redshift, Glue, and Lambda
  • Strong problem-solving skills and the ability to analyze complex data sets to derive actionable insights
  • Excellent verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams
  • Relevant certifications in data engineering, cloud technologies, or related areas are a plus
  • Qualifications: 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

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