Senior Member Technical Staff (Java)

Company Description

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

Job Description

Job Purpose

- Develop and enhance our flagship Video metadata software solutions.

- Design applications with a Platform-first mentality where scale, consistency, and reliability are at the core of every decision.

Job Description

As a Lead Engineer, you will be responsible for leading the designing, developing, and maintaining high-quality software applications. You will collaborate with cross-functional teams to define, design, and ship new features, while also ensuring the performance, quality, and responsiveness of applications. In addition, you will mentor and guide junior engineers.

Required Experience and Skills

- Experience in designing, developing, and scaling enterprise-grade applications, including developing solutions from scratch.

- Exposure to various backend and front-end technologies including Java and JavaScript.

- Willing to work on legacy stacks and curious to automate old systems.

- Experience in building ETL/ELT processes to ingest data from various sources (APIs, databases, files, etc.).

- Optimize existing data pipelines for performance, cost, and reliability.

- Proficiency in databases, including schema design, for large-scale applications, with mandatory experience in both SQL, NoSQL, Vector datastores.

- SQL examples: PostgreSQL, MySQL, Oracle

- NoSQL examples: MongoDB, Cassandra, Redis, DynamoDB, Elastic Search, Neo4j