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 DescriptionJob 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
Vector datastore examples: Pinecone, Pgvector, Milvus, Redis Vector Similarity
Proven experience in leading and mentoring a team of engineers ensuring successful project delivery.
In-depth knowledge and proficiency of messaging queue concepts.
Key Responsibilities
● Lead Design, develop, and maintain scalable and robust web applications and data
pipelines.
● Collaborate with product managers, designers, and other engineers to gather requirements
and translate them into technical specifications.
● Write clean, maintainable, and efficient code following best practices and coding standards.
● Conduct code reviews ensuring adherence to best practices and high coding standards
provide constructive feedback to team members.
● Troubleshoot and debug applications to optimize performance and resolve issues.
● Participate in the full software development lifecycle, including planning, development,
testing, and deployment. Participate in architectural discussions and decision-making
processes to shape the future of our technology stack
● Stay up-to-date with emerging technologies and industry trends and evaluate their potential
impact on our products and services.
● Contribute to the development and improvement of engineering processes, tools, and
methodologies.
● Mentor and guide junior engineers, fostering a culture of learning and collaboration within
the team.d testing frameworks.
Bachelor’s degree in Computer Science, Engineering, or a related field.
7+ years of professional experience in software development, with a strong focus on Python.
Proficiency in Java frameworks such as Django, Flask, or FastAPI.
Experience with RESTful APIs and microservices architecture.
Familiarity with front-end technologies (e.g., HTML, CSS, JavaScript) is a plus.
Working knowledge of machine learning and data science concepts.
Understanding of software development methodologies (Agile, Scrum, etc.).
Strong problem-solving skills and the ability to work independently as well as in a team environment.
Excellent communication and interpersonal skills.
Preferred Qualifications
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
Familiarity with containerization technologies (e.g., Docker, Kubernetes).
Knowledge of CI/CD tools and practices.
Experience with test-driven development (TDD) and automate
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