Software Engineer

NielsenIQ

About The Position

At NielsenIQ, we deliver the most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. We are looking to add a Software Engineer to our Label Insight team. Label Insight plays a crucial part in how we digitize, enhance and distribute data to clients and the wider NielsenIQ business. To help achieve this, we work with open data ecosystems in the cloud. Our clients around the world rely on NielsenIQ’s data and insights to innovate and grow. As a Software Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about supporting and progressing leading edge solutions to meet our business requirements. Right now our platform is based in Java/Kotlin, Python, and JavaScript (React), and we continue to adopt the best of breed in cloud-native, low-latency technologies. We value CI/CD in everything that we develop.

Requirements

Strong fundamentals in back-end object-oriented programming, including proficiency in Java or Kotlin
Familiarity integrating Restful APIs and an understanding of microservices architecture
Experience working with relational and NoSQL databases
Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business
Sound SDLC skills, preferably with experience in an agile environment
2 to 5 years of relevant software engineering experience
Minimum B.S. degree in Computer Science, Computer Engineering or related field

Responsibilities

Start the day collaborating with your XFN team and Product Manager during daily standups to discuss the current sprint and remove any roadblocks
Write Java, Kotlin, JavaScript or Python code (using TDD) to add functionality to our platform
Build out an event driven, microservices architecture using both serverless technologies and RESTful, Spring Boot APIs (Java/Kotlin)
Work on our infrastructure as code framework, using AWS services (such as Lambda, ECS, Fargate, Step Functions, SNS/SQS, and Kinesis Firehose)
Model complex product data and work with multiple data stores, including MySQL, PostgreSQL, DynamoDB and Elasticsearch
Pair with other engineers to provide highly valuable and innovative products to our customers
Author architecture decision records and participate in whiteboarding sessions to demonstrate continual improvement of our engineering practices
Meet weekly with your manager 1:1 to keep the lines of communication flowing and ensure your performance and development is on track
Host a Lunch-and-Learn or Engineering Learning Session to showcase a new technology