Senior Manager, MTS

SmartRecruiters, Inc.; India; Vor Ort; INR 2.500.000 - 4.500.000; Vollzeit

Zusammenfassung

Nielsen's Gracenote division seeks a Senior Engineering Manager to lead teams building scalable metadata pipelines and data delivery systems for a global audience. You will guide architecture, mentor engineers, and collaborate with product to align technical roadmaps with business goals.

You will champion performance, availability, and secure delivery across cloud-based platforms and cutting-edge AI-enabled data processing workflows.

Qualifikationen

• 10+ years of software development experience, including 2+ years in people management.
• Experience delivering end-to-end web crawling, data processing, and metadata curation.
• Excellent understanding of algorithms, data structures, and system design principles.

Aufgaben

• Build and lead high-performing agile teams.
• Set the direction for the team and support people in their career growth.
• Provide technical leadership to identify and define abstractions and 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.
• Understand business goals and contribute to product strategy and key metrics.
• Drive execution using Agile methodologies and remove impediments.
• Design distributed systems with high availability and fault tolerance.
• Work with cloud ecosystems (AWS, Azure, GCP).
• Leverage big data frameworks like Spark, Hadoop, or Flink for processing large datasets.
• Design systems for curated metadata storage, search, and delivery using relational and NoSQL databases.

Kenntnisse

Java

Python

Golang

REST APIs

GraphQL

Distributed systems

Agile methodologies

Cloud (AWS/Azure/GCP)

Ausbildung

Bachelor’s or Master’s in CS/Engineering

Tools

PostgreSQL

MySQL

MongoDB

Cassandra

Redis

Memcached

Spark

Hadoop

Flink

Jobbeschreibung

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

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 Senior 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 AI and 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 SEM 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

Strong expertise in one or more programming languages such as Java, Python, Golang

Experience with databases like Postgres, MySQL, MongoDB, Cassandra, and caching layers such as Redis or Memcached.

Expertise in designing and implementing diverse data delivery solutions, including real-time streaming architectures, efficient batch processing systems, and robust API delivery mechanisms.

Proficiency in building RESTful APIs and working with GraphQL to serve metadata efficiently.

Knowledge of cloud ecosystems (AWS, Azure, GCP) and cloud-native architectures for scalable deployments.

Exposure to NFR concepts like availability, recoverability, performance & scalability.

Exposure to different design & architecture patterns.

Demonstrated ability to design distributed systems with high availability and fault tolerance.

Understanding of software development methodologies (Agile, Scrum, etc.).

Experience with big data frameworks like Apache Spark, Hadoop, or Flink for processing and transforming large-scale datasets.

Expertise in designing systems for curated metadata storage, search, and delivery using relational and NoSQL databases.

Experience leading engineers providing feedback, recognizing individual strengths, and promoting professional growth

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.

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.