Total 4 job vacancies by NielsenIQ

About MM

Our Media Measurement team uses state-of-the-art technologies and rigorous methods to track who is watching what, where, and how they engage with content. Our clients can evaluate who is consuming which content across different media, platforms and devices, and know what the audience thinks about that content. As people consume media content on more channels, and through more devices, than ever before, we are proud to provide a full view on media consumption.

The position

• You work with the Site Reliability Engineering/Support and Development Teams to increase the quality of our products.
• You build and improve test processes as part of the CI/CD pipeline. You advocate and lead the test automation.
• You define, implement and automate test cases in order to ensure product quality
• You bring your expertise to help the team improve both the quality of the SW and frequency of the delivery
• You support the R&D department with your expertise and ensure a smooth and correct data collection and analysis
• You create reports and document, analyze panel data, implement and monitor technical KPIs
• You keep track of customers service needs in the JIRA ticketing system
• You test/verify our software and services and act as a quality gate. 

Minimum qualifications:

• Technical degree at university/institute of technology, college of applied science level
• Strong analytical thinking and problem solving skills are the key to success in this role
• Strong foundation in software testing principles and practices
• Knowledge of UNIX/Linux environments
• Coding Experience in at least one statistical software packages such as Python, R.
• Ability to manage, prioritize, analyze and communicate multiple technical issues with the help of a ticketing system
• Positive and enthusiastic team player with good communication and collaboration skills. Solution oriented, autonomous and proactive working style
• Fluent English in written and spoken
• Basic knowledge and understanding of statistical concepts an advantage 

Your Chance

• Varied and challenging work content as well as good development opportunities
• A role that provides you progress both professionally and personally
• Attractive terms of employment and a lot of personal responsibility
• You work in a young and lively environment and you are part of an international SAFe Agile Release Train with around 100 engineers

Media Measurement

Our Media Measurement team uses state-of-the-art technologies and rigorous methods to track who is watching what, where, and how they engage with content. Our clients can evaluate who is consuming which content across different media, platforms, and devices, and know what the audience thinks about that content. As people consume media content on more channels, and through more devices, than ever before, we are proud to provide a full view on media consumption.

As a Data Engineer, you will have the following key responsibilities: 

• Design, construct, install, and maintain data management systems.
• Ensure that all systems meet the business/client requirements as well as industry best practices.
• Create custom software components and analytics applications.
• Collaborate with members of your team on the project’s goals.
• Take ownership of technical implementations and architecture together with your team and in alignment with our communities of practices.
• Communicate with data producers to align on data exchange formats and define data interfaces.
• Communicate with data consumers and stakeholders to help them fulfill their needs to drive the business.
• Develop, install/update disaster recovery procedures.
• Research new use cases for the existing data.
• Recommend different ways to constantly improve data reliability and quality.

Now that we've introduced you to the position of Data Engineer, what skills, qualifications, and experiences should you have?

• You have 3+ years hands-on experience with at least one of these programming languages: Scala, and Java or Python.

• You have experience working with at least one public cloud provider (AWS).

• You have experience with good engineering practices.

• You are following best practices in software engineering, like pair programming, testing, clean code, and agile software development frameworks.

• You have experience working with data pipelines and surrounding infrastructure.

• You bring curiosity to find new and unusual ways of handling data management issues.

• You can design data-crunching pipelines for large data volumes.

• You have a good overview of the distributed processing.

• Having used Airflow and Terraform is a plus.

• You are able to give and take open and constructive feedback.

• You have a Bachelor’s (ideally Master's) degree in computer science, software engineering, or equivalent.

Benefits

• A great team who are always ready to support you in your career.
• An opportunity to work in an international and exciting work environment.
• Ongoing training to support your development.
• Stay at the forefront of the technologies.
• Opportunities for personal and professional growth.
• Great compensation and a bonus scheme linked to individual performance and company results.
• Flexible working hours and/or home office possibilities.
• Great Employee Assistance Program to help you balance your personal and professional life.

As Software Engineer, you are part of the Global Media Measurement Tech and Client Operations management team and focus on maintaining healthy solutions and products that are operated globally.

Our Media Measurement team uses state-of-the-art technologies and rigorous methods to track who is watching what, where, and how they engage with content. Our clients can evaluate who is consuming which content across different media, platforms and devices, and know what the audience thinks about that content. As people consume media content on more channels, and through more devices, than ever before, we are proud to provide a full view on media consumption.

We look for a profile with skills:

Mandatory skills :

• Strong skills in design and architecture of software systems.
• Excellent skills in software engineering – C# / MVC / .NET (using Visual Studio)
• In-depth experience using cloud based development platforms, ideally AWS.
• Experience with MS-SQL-Server or equivalent, excellent SQL skills.
• Experience in using document oriented NoSQL database systems, e.g. MongoDB
• Experience with cloud management tools, to control the cost-efficient use of resources in cloud environments.
• High security-awareness especially in cloud based environments.
• Skills with regard to agile practices and culture including concepts like DevOps and Lean. Ideally experienced with SAFe.
• knowledge of CI/CD/TDD
• working in distributed Teams using source control system based on git-protocol

Good to have skills :

• working knowledge of Airflow (job scheduling, Python based) and Powershell.
• Frontend Knowledge (JavaScript, Ember.JS)

Lead - Product Design -Pune, India

REFID147253 

We are looking for an experienced and motivated lead to help shape the products within the Advanced Analytics portfolio. As a Product Design Lead for the Analytics Ecosystem, you will be working with our Product leaders and Data Science leaders to shape our strategy to scale Analytics that is aligned with the core of NIQ measurement products. You will design products by extracting insights from data, developing predictive models, driving data-driven decision-making, designing innovative solutions, managing client support for product methodology, and maintaining the data science knowledge base across the Analytics Product organization.

Responsibilities:

• Understand the product, data science, engineering, and architecture strategy, develop the strategy and design for scalable and operationally efficient analytics product ecosystem integrated with our core measurement platform.
• Collaborate with the Product owners and Data Science leads to help design and build high-quality analytics products
• Collaborate with cross-functional teams to understand business requirements and identify opportunities for leveraging data to create Analytics products
• Design innovative data science solutions to address business challenges and opportunities
• Collaborate with the Data Science and Engineering leads to develop and implement machine learning models for predictive analytics and other data-driven applications
• Design processes and tools for our operations and modelling teams to manage the execution and the quality of the models
• Manage client support for methodology, including providing guidance on data science best practices and ensuring the successful implementation of data-driven solutions
• Manage the data science knowledge base, including documenting best practices,building reusable analytics libraries, and sharing insights and learnings with the broader organization
• Provide technical guidance and mentorship to junior team members