Member Technical Staff II (Data Engineer +Backend)

United States Digital Space LLC; Maharashtra; On-site; INR 1,800,000 - 3,800,000; Full time

Job summary

Nielsen is seeking a Senior Software Engineer to design, build, and maintain large‑scale data platforms and metadata solutions. You will work with cross‑functional teams to deliver robust data pipelines, APIs, and services with a platform‑first mindset.

As a senior member, you’ll mentor juniors, stay current with GenAI and AI tooling, and drive scalable, cost‑efficient architectures in a modern cloud environment.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 4 to 6 years of professional Backend and Data Engineering experience with large-scale datasets.
• Experience with real-time event processing and scalable data platforms.
• Strong problem-solving and collaboration skills in a fast-paced environment.

Responsibilities

• Design, develop and maintain scalable data pipelines and systems.
• Architect solutions for large-scale datasets with fast refresh cycles, ensuring performance.
• Write clean, maintainable code following best practices and standards.
• Collaborate with data scientists, engineers and product managers to translate requirements.
• Ensure reliability, observability, and SLA compliance across pipelines.
• Mentor junior engineers and promote continuous improvement.

Skills

Python

Java

Scala

Spark

Flink

RESTful APIs

Cloud platforms

Docker

Kubernetes

CI/CD

Data pipelines

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Airflow

HDFS

S3

Postgres

MySQL

NoSQL

Delta Lake

Parquet

Dataviz tools

Job description

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.

Job Description

We are looking for a talented Senior Software Engineer with strong programming skills to join our dynamic team. If you are passionate about technology and eager to work on challenging projects, we want to hear from you!

Job Purpose

• Develop and enhance our flagship Video, Audio, Automotive and Sports 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 Sr. Engineer, you will be responsible for designing, developing, and maintaining high-quality, large scale data platforms. You will collaborate with cross-functional teams to define, design, and ship new features, while also ensuring the performance, quality, and responsiveness of our data pipelines and applications.

Key Responsibilities

• Design, develop and maintain scalable and robust data pipelines and systems.


• Architect and implement solutions for managing \\& processing large-scale datasets with fast refresh cycles, ensuring high performance, scalability \\& accuracy.


• Write clean, maintainable \\& extensible code following best practices \\& standards.


• Conduct design and code reviews to ensure high-quality deliverables and adherence to best practices.


• Ensure robust data governance by implementing and maintaining frameworks for data lineage, quality, traceability and consistency across systems.


• Troubleshoot and resolve complex issues, ensuring reliability, availability, observability, minimal downtime and SLA compliance.


• Collaborate with cross-functional teams, including data scientists, engineers \\& product managers, to translate business requirements into technical solutions.


• Stay up-to-date with emerging technologies, including advancements in GenAI \\& leverage AI-driven tools, frameworks \\& LLMs to augment solutions \\& skill-sets.


• Mentor and guide junior engineers, fostering a culture of learning, innovation \\& continuous improvement within the team.

Skills and Expertise

• Advanced programming skills in Python, Java, or Scala, with strong understanding of algorithms, data processing, stream analytics and event-driven architectures.


• Experience in working with distributed data systems such as Spark or Flink.


• Proven experience in designing, building and maintaining scalable RESTful APIs and services, along with solid understanding of backend patterns and frameworks.


• Experience with one or more Cloud platforms (AWS, Azure, GCP).


• Deep understanding of distributed storage systems (HDFS, S3), modern file formats (Parquet, Arrow) and Lakehouse architectures (Delta Lake, Paimon)


• Knowledge of database systems, including NoSQL stores (Cassandra, MongoDB), relational databases (Postgres, MySQL) and data orchestration tools (Airflow).


• Expertise in designing, building and tuning systems for high throughput, low latency, resilient and cost-efficiency architectures.


• Working proficiency with Agile development methodologies and CI/CD practices.


• Familiarity with containerization (Docker, K8s) and Dataviz tools is good to have.

Qualifications

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


• 4 to 6 years of professional experience in Backend and Data Engineering, with hands-on expertise in managing large-scale datasets and real-time event processing.


• Excellent problem-solving skills, resourcefulness \\& creative thinking to work effectively in a dynamic and fast-paced environment.


• Adept at articulating complex technical concepts and solutions, ensuring clarity and alignment across diverse technical and non-technical audiences.

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.