Senior Member Technical Staff

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.

Key Responsibilities

- Technical Leadership: Lead the technical design, architecture, and implementation of high-throughput data ingestion systems and ETL pipelines.

- Team Mentorship: Guide, mentor, and elevate a team of Engineers, fostering a culture of technical excellence and best practices.

- Hands-on Development: Write clean, scalable, and maintainable code primarily in Java and Python.

- Performance Optimization: Proactively monitor and resolve complex issues related to high memory and CPU consumption, bottlenecks in data transfer, and queue processing.

- Agile Delivery: Partner with product managers and scrum masters to drive Agile/Scrum ceremonies, sprint planning, and timely delivery of features.

- End-to-End Ownership: Oversee the full software development lifecycle, from system design and data formatting/analytics to deployment and infrastructure management.

Technical Requirements

Core Backend & Data Engineering:

- Languages: Expert-level proficiency in Java and Python.

- Data & Big Data: Deep understanding of Apache Spark, ETL pipeline design, data formatting, and data analytics.

- Databases: Strong hands-on experience with both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., DynamoDB, MongoDB, Cassandra) databases.

- Messaging/Queues: Proven experience working with message brokers and queues (e.g., Kafka, AWS SQS, RabbitMQ) to manage asynchronous data transfer.

Cloud & Infrastructure: