**Job Description**

About us:
Gracenote, the content data division of Nielsen, powers innovative entertainment
experiences for leading media companies worldwide. Our advanced entertainment
metadata and connected IDs enable seamless content navigation and discovery, helping
consumers connect to the content they love and explore new favorites. With a global
presence, Gracenote delivers both global and localized video, audio, automotive & sports
content solutions across the Americas, Asia-Pacific, Europe, the Middle East, and Africa.
Some of the biggest names who trust Gracenote are Jio, Amazon, NBC, BMW,
Mercedes-Benz, Samsung, Sony etc.
We are seeking a highly skilled and experienced Engineering manager to join our
innovative team. The ideal candidate will bring deep expertise in designing and
implementing scalable, high-performance systems, particularly in the domains of media
data processing, web crawling, and metadata curation and serving. This role involves
technical leadership, people management, engineering and operational excellence and
collaboration across teams to deliver impactful solutions to media companies and other
stakeholders.

What is in it for you ?
● We are setting ourselves to modernise the metadata processing pipelines through
platformization and build intelligent solutions using data science for Video, Audio,
Automotive and Sports.
● Be a part of high impact and visibility projects which are going to be key revenue
drivers for Gracenote.
● Contribute to the next-gen metadata platforms which combine technology, data
science and innovation.

Key Responsibilities

• They are responsible for building high-performing agile teams
• They set the direction for the team and support people in their career growth. They
• are responsible for talent segregation and succession planning
• Provide technical leadership to identify and define the right component/system abstractions/capabilities for current/future product/platform tasks
• Drive strategy and vision in collaboration with Product
• Build scalable and reliable technology solutions at a rapid pace
• One of the key responsibilities of an EM is to understand business goals and
• contribute to product strategy and take accountability for moving key
• business metrics.
• They are also responsible for driving execution using Agile methodologies
• by removing impediments along the way with the big picture in mind.

Required Skills and Expertise:
● Strong expertise in one or more programming languages such as Java, Scala,
Python, Golang.
● Expertise in designing and implementing diverse data delivery solutions, including
real-time streaming architectures, event-driven architectures, efficient batch
processing systems, and robust API delivery mechanisms.
● Experience with big data frameworks like Apache Spark, Hadoop, or Flink for
processing and transforming large-scale datasets.
● Experience with databases like Postgres, MySQL, MongoDB, Cassandra, and
caching such as Redis or Memcached.
● Proficiency in building RESTful APIs and working with GraphQL to serve metadata
efficiently.
● Expertise in Data Lake and Lakehouse architectures and technologies like Delta
Lake, Iceberg and data orchestration tools like Airflow, Dagster.
● Knowledge of cloud ecosystems (AWS, Azure, GCP) and cloud-native
architectures for scalable deployments.
● Exposure to NFR concepts like availability, recoverability, performance &
scalability.
● Demonstrated ability to design distributed systems with high availability and fault
tolerance.
● Understanding of software development methodologies (Agile, Scrum, etc.).

Qualifications

● Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
● 10+ years of software development experience, including 2+ years in people
management role
● Strong understanding of algorithms, data structures, and system design principles.
● Experience in delivering end-to-end solutions for web crawling, data processing,
and metadata curation.
● Excellent problem-solving skills and the ability to work effectively in a fast-paced
environment.
● Strong communication skills with the ability to convey complex technical concepts
to diverse audiences.

**Qualifications**

Preferred Qualifications:
● Experience in using GenAI tools for code creation, video and voice data
processing.
● Experience with Natural Language Processing (NLP) and Machine Learning (ML)
techniques to analyze and extract insights from large-scale datasets
● Understanding of security best practices for data protection and system integrity.

**Additional Information**

Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.