Senior Engineer(API Development and Integration , AWS Service)

Nagarro; Pune District, Gurugram District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Nagarro in Pune is seeking a skilled Python API engineer to design, build, and optimize scalable REST APIs using Python-based frameworks.

You will work with AWS services, PySpark, SQL, and ETL pipelines, collaborate with Data Engineering and DevOps teams, participate in testing and production deployments, and ensure best practices and cloud-native architecture.

Qualifications

• Proficiency in Python and building scalable REST APIs.
• Strong SQL skills for analytical and operational workloads.
• Experience with PySpark and data processing pipelines.
• Knowledge of AWS services and cloud-native architecture.

Responsibilities

• Writing and reviewing high-quality code for REST APIs.
• Understand client requirements and analyze project needs.
• Define technologies and patterns to realize functional/non-functional goals.
• Coordinate requirements, schedules, and activities for development.

Skills

Python

SQL

PySpark

REST APIs

AWS services

ETL pipelines

Unit testing

DevOps collaboration

Education

Bachelor's degree in CS/IT

Tools

AWS Glue

AWS Lambda

Amazon Redshift

DynamoDB

Job description

We're Nagarro, we are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

REQUIREMENT:

• We are hiring for design, develop, and maintain scalable REST APIs using Python-based frameworks.
• Integrate APIs with AWS services such as AWS Glue, Lambda, Redshift, and DynamoDB.
• Build, optimize, and support ETL/Data Pipelines for data ingestion, transformation, and loading.
• Develop data processing solutions using Python, SQL, and PySpark.
• Write efficient and optimized SQL queries for analytical and operational data workloads.
• Implement API authentication, security, error handling, logging, and monitoring mechanisms.
• Perform unit testing, integration testing, troubleshooting, and performance optimization.
• Collaborate with Data Engineering, DevOps, and Application teams to support deployments and production operations.
• Support event-driven integrations using Amazon SQS and related messaging platforms.
• Ensure adherence to coding standards, best practices, and cloud-native architecture principles.

RESPONSIBILITIES:

• Writing and reviewing great quality code
• Understanding functional requirements thoroughly and analysing the clients needs in the context of the project
• Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it
• Determining and implementing design methodologies and tool sets
• Enabling application development by coordinating requirements, schedules, and activities.
• Being able to lead/support UAT and production roll outs
• Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it
• Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
• Giving constructive feedback to the team members and setting clear expectations.
• Helping the team in troubleshooting and resolving of complex bugs
• Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken
• Carrying out POCs to make sure that suggested design/technologies meet the requirements