Senior Member Technical Staff (Java-Backend- 6-8 years )

Gracenote is the content business unit of Nielsen that powers the world of media entertainment.
Our metadata solutions help media and entertainment companies around the world deliver
personalized content search and discovery, connecting audiences with the content they love.
We’re at the intersection of people and media entertainment. With our cutting-edge technology and solutions, we help audiences easily find TV shows, movies, music and sports across multiple platforms.
As the world leader in entertainment data and services, we power the world’s top streaming
platforms, cable and satellite TV providers, media companies, consumer electronics
manufacturers, music services and automakers to navigate and succeed in the competitive
streaming world. Our metadata entertainment solutions have a global footprint of 80+ countries,
100K+ channels and catalogs, 70+ sports and 100M+ music tracks, all across 35 languages.

• 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 the junior
  engineers.

• 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 and NoSQL datastores.

• SQL examples: PostgreSQL, MySQL, Oracle

• NoSQL examples: MongoDB, Cassandra, Redis, DynamoDB, Elastic Search, HBASE

• 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.

Bachelor’s degree in Computer Science, Engineering, or a related field.

• 6+ years of professional experience in software development, with a strong focus on Java.

• Proficiency in Java frameworks such as Spring, Hibernate, or similar.

• 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 automated testing frameworks.

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