This role will be part of a team that develops software that runs on over 100k computers worldwide, measuring panelists activities as they surf the Internet. Using a software meter that is optimized to be unintrusive to the user, yet able to gather many biometric data points and send them back to a collection system that runs in the Cloud. The Staff Software Engineer is ultimately responsible for delivering technical solutions: starting from the projects onboard until post launch support and including design, development, testing and user acceptance. It is expected to coordinate, support and work with multiple delocalized project teams in multiple regions. As the Windows OS Staff SW Engineer in our team, you will lead the development efforts for our industry leading, Windows based meters. Your role will involve designing, implementing, and maintaining robust, scalable solutions that leverage C/C++ code that accesses the Windows kernel. You will play a key role in shaping the technical direction of our projects and mentoring other team members. Meter Deployment: Conceive, design and build new features in the existing Windows-based software meter. CI/CD Implementation: Design and implement CI/CD pipelines for automated build, test, and deployment processes. Ensure continuous integration and delivery of features, improvements, and bug fixes. Code Quality and Best Practices: Enforce coding standards, best practices, and design principles. Conduct code reviews and provide constructive feedback to maintain high code quality. Performance Optimization: Identify and address performance bottlenecks in both client-side and data upload components. Optimize applications for remote/unassisted installation. Mentorship and Collaboration: Mentor junior engineers, providing guidance on technical aspects and best practices. Collaborate with cross-functional teams to ensure a cohesive and unified approach to software development. Security and Compliance: Implement security best practices for both client and upload components. Ensure compliance with industry standards and regulations related to application security. Key Skills:- Bachelors or masters degree in Computer Science, Software Engineering, or a related field. Proven experience, minimum 8 years, in Windows client development expertise using C/C++, and accessing low-level system services Strong understanding of CI/CD principles and tools. GitLab a plus Excellent problem-solving and debugging skills. Leadership experience, minimum 2 years, in guiding technical decisions and mentoring team members. Strong communication and collaboration skills with ability to communicate complex technical concepts and align organization on decisions Sound problem-solving skills with the ability to quickly process complex information and present it clearly and simply Utilizes team collaboration to create innovative solutions efficiently Other Desirable Skills Knowledge of networking principles and security best practices. Experience with Javascript, PAW/CSS

Our Global Nielsen Media Campaign Analytics Research team works collaboratively to deliver actionable recommendations that help clients win in the marketplace. Focused on market impact and business growth, were at the forefront of customer experience as we navigate the complex needs of our industry. Qualifications MBA in Marketing or related field preferred. 0-2 years experience in Marketing or Media research preferred Knowledge of marketing and advertising a plus, ideally of digital ad unit types and digital ad buying/selling ecosystem Good understanding of survey methodology Strong Project Management skills Strong interpersonal skills required Knowledge of SPSS, VBA, and R scripting language a strong plus Very strong quantitative, data tabulation, analytic thinking, and data mining skills Excellent skills with Microsoft Office and Google suite of products (especially Excel/Sheets, PowerPoint/Slides) Knowledge of relational databases a plus Strong written and verbal communication skills in English Strong time management skills Ability to deliver under deadlines Effective organizational skills and ability to multitask Close attention to detail Eager to learn and develop skills Ability to work across time zones Willingness to work in 2:30 pm- 11:30pm shift Responsibilities Create detailed research analyses focused on the effectiveness of advertising on a variety of media platforms using established test vs control methodology Decide on the correct analytic approach(es) to measure campaigns and evaluate question selection/wording Work directly with clients from the study kickoff phase through to delivery Perform strong quality assurance checks on poll grammar and tone, data collection during survey flight, and finalized reports Investigate/raise questions when issues are discovered and proactively work to help find the root cause and resolve them Work as part of a team to create research solutions for new product developments that would better serve our clients Design and implement brand impact surveys and analyze and interpret findings as necessary Responsible for supporting survey-based primary research quote requests and project work (cost/feasibility requests, survey design, field management, and report slide creation). Drafting proposals, pricing & performing feasibility checks Drafting/Editing Survey Questionnaire Online survey link checking Preparing Analysis Plan(detailing Tables specifications) Coordinating with the various teams (Programming, Data processing, Open End Coding, Translations, etc.) Fieldwork monitoring/ communication Sample performance and analysis Managing sampling process Preparing PowerPoint report template - Participate in creating research reports Report population and quality checking Analysis and report writing - Analysing and summarizing the data to answer client questions and provide meaningful recommendations Work on different tools - SPSS, Decipher, Primelingo /Scarborough database, Data Visualization tool(Displayr) etc. Notifies project lead/manager of any problem/risk areas on timely basis. Coordinate with multiple project members/ teams for query solving and keeping track of project timelines. Responsibility for the quality of deliverables; error-free. Guide clients in the interpretation of results of analytics, partnering with the global clients insights team to present results directly to agencies, advertisers, and media companies Interact and partner with global clients insights team t based out of U.S. to ensure a smooth delivery of projects. The Research Analyst will be part of a fast-paced team responsible for dealing directly with media companies and their agency/advertiser clients daily to understand an advertiser s campaign, advising on survey setup, and providing analysis on the campaign s performance, all while maintaining a high level of quality assurance throughout each step of the process. As a Research Analyst on the Campaign Analytics team, you may execute brand impact surveys measuring ad effectiveness on media platforms of all kinds, from digital, to social, to streaming, to podcasting, and beyond. Additionally, the Research Analyst will assist in developing and performing deep-dive custom analyses under the guidance of research leads.

We are dedicated to innovation and excellence and are looking for a skilled Senior Software Developer with extensive Java and AWS experience to join our dynamic team. Job Summary: We are seeking a Senior Software Developer with 5-8 years of experience who is proficient in developing, and maintaining scalable and high-performance Java applications. The ideal candidate will also have a strong background in AWS cloud services and be capable of leveraging these tools to optimize and deploy applications. Key Design, develop, and maintain robust Java applications and services. Implement and manage cloud-based solutions using AWS services such as EC2, S3, RDS, Lambda, and API Gateway. Collaborate with cross-functional teams to gather requirements, design technical solutions, and deliver high-quality software. Optimize application performance, scalability, and security in AWS environments. Troubleshoot and resolve application and infrastructure issues in a timely manner. Contribute to code reviews, mentoring, and best practices for development and deployment. Stay current with industry trends and emerging technologies to ensure the company remains competitive. Requirements: Bachelor s degree in Computer Science, Engineering, or a related field. 5-8 years of professional experience in Java development. Proven experience with AWS services and cloud architecture. Strong knowledge of Java frameworks and libraries (e.g., Spring, Hibernate). Experience with RESTful APIs and microservices architecture. Proficiency in SQL and experience with relational databases. Familiarity with CI/CD tools and practices. Strong problem-solving skills and the ability to work independently as well as in a team environment. Excellent communication and interpersonal skills. Preferred Additionals: AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Developer). Experience with containerization technologies (e.g., Docker, Kubernetes). Knowledge of front-end technologies (e.g., HTML, CSS, JavaScript) is a plus.

Job Description: We are seeking an experienced Developer with expertise in ETL, AWS Glue and Data Engineer experience, combined with strong skills in Java and SQL. The ideal candidate will have 5-8 years of experience designing, developing, and implementing ETL processes and data integration solutions. Responsibilities include developing ETL pipelines using AWS Glue, managing data workflows with Informatica, and writing complex SQL queries. Strong problem-solving abilities and experience with data warehousing are essential. Key Skills: Proficiency in AWS Glue and Informatica ETL tools Strong Java programming skills Advanced SQL querying and optimization Experience with data integration and data warehousing Excellent problem-solving and analytical skills

Job Description: We are seeking an experienced Developer with expertise in ETL, AWS Glue and Data Engineer experience, combined with strong skills in Java and SQL. The ideal candidate will have 5-8 years of experience designing, developing, and implementing ETL processes and data integration solutions. Responsibilities include developing ETL pipelines using AWS Glue, managing data workflows with Informatica, and writing complex SQL queries. Strong problem-solving abilities and experience with data warehousing are essential. Key Skills: Proficiency in AWS Glue and Informatica ETL tools Strong Java programming skills Advanced SQL querying and optimization Experience with data integration and data warehousing Excellent problem-solving and analytical skills

Gain a deep understanding of customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience and drive growth. Create buy-in for the product vision both internally and with key external partners. Translate product strategy into detailed requirements and prototypes. Scope and prioritize activities based on business and customer impact. Work closely with Data Science and engineering teams to deliver with quick time-to-market and optimal resources. Work with high profile customers to ensure they understand the methodologies used to build and deliver Nielsen products. Partner with Product Marketing to design go-to-market plans that highlight the value our products deliver. Maintaining a prioritized backlog that aligns with available Engineering capacity and maps to an overall solution roadmap. Act as a product evangelist to build awareness and understanding of Nielsen products to internal stakeholders. Set and track ROI goals for each product, ensuring they deliver value and align with broader business objectives. Track and enforce contractual commitments to inform product roadmap and prioritization. Key Skills A bachelors or masters degree in Computer Science, Data Science, or a related field is preferred. 4-7 years experience in product management or a similar discipline in a SaaS or DaaS environment. Additional certifications in Product Management, Agile methodologies, or related areas can be advantageous. Prior experience in Identity graphs and Data Interoperability is a plus. Knowledge of project and product management tools like Jira and Aha. Familiarity with complex data methodologies to combine data assets into products. Experience with big data analytics and data flows. Experience in writing technical specifications and technology requirements. Nimble with fail-fast mindset to drive rapid iterations of product development Strong time management skills. Excellent written and verbal communication skills along with the ability to present effectively to upper management. A customer-first approach by anchoring and solving customer problems rapidly, aligning data-driven decisions with customer needs.

Define detailed product requirements, user stories, and success metrics. Work closely with technical teams to ensure timely delivery of features and improvements. Manage backlogs, sprints, and release plans in collaboration with engineering leads. Align infrastructure and tooling initiatives with business and engineering goals. Execute against holistic product requirements and detailed workflows to minimize changes once development is underway Develop and define metrics that clearly communicates the success of products and features, and identify product improvement opportunities Effectively collaborate across Product, Engineering, Content, Sales, Customer Experience, Marketing, and other functions. QUALIFICATIONS & SKILLS Bachelor's degree or higher. Computer Science/Engineering major or demonstrable experience working with engineering teams. Comfortable with XML, JSON, SQL, and APIs 5+ years of experience in product management. Strong preference for candidates with experience in media technologies, content management, or workflow automation tools Experience working in a distributed Agile/Scrum work environment writing user stories, and following the development process through user story acceptance Proven experience managing products across the lifecycle from concept to launch Strong track record of using data and analytics to drive product decision making, improvements, and stakeholder alignment

Define detailed product requirements, user stories, and success metrics. Work closely with technical teams to ensure timely delivery of features and improvements. Manage backlogs, sprints, and release plans in collaboration with engineering leads. Align infrastructure and tooling initiatives with business and engineering goals. Execute against holistic product requirements and detailed workflows to minimize changes once development is underway Develop and define metrics that clearly communicates the success of products and features, and identify product improvement opportunities Effectively collaborate across Product, Engineering, Content, Sales, Customer Experience, Marketing, and other functions. QUALIFICATIONS & SKILLS Bachelor's degree or higher. Computer Science/Engineering major or demonstrable experience working with engineering teams. Comfortable with XML, JSON, SQL, and APIs 5+ years of experience in product management. Strong preference for candidates with experience in media technologies, content management, or workflow automation tools Experience working in a distributed Agile/Scrum work environment writing user stories, and following the development process through user story acceptance Proven experience managing products across the lifecycle from concept to launch Strong track record of using data and analytics to drive product decision making, improvements, and stakeholder alignment

Build and test Cloud-based applications for new and existing backend systems to help facilitate development teams to migrate to the cloud with an emphasis on quality, best-practice coding standards, and cost-effectiveness Build platform reusable code and components that could be used by multiple project teams. Provide cloud integration development support to various project teams. Leverage modern design patterns and architectural principles to build platform reusable code and components that can be used across projects and teams Write both unit and integration tests, and develop automation tools for daily tasks Support product owner in defining future stories and tech lead in defining technical requirements for new initiatives Build rapid technical prototypes for early customer validation of new technologies Collaborate effectively with Data Science to understand, translate, and integrate methodologies into engineering build pipelines Collaborate with cross-functional teams and stakeholders to align development objectives with broader business goals Key Skills Domain Expertise 3-5 years of hands-on software development with a bachelor's degree in computer science, engineering Must have strong cloud Implementation expertise in cloud architecture. Must have very good knowledge of storage, network, compute services. Have sound knowledge in multi-zone, region-based designs. Must have the ability to provide solutions utilizing best practices for resilience, scalability, cloud optimization and security. A quick learner, who can pick up new technologies, program languages and frameworks in a short span of time Technical Skills Experience in software development using programming languages tools/services: Java or Python or Scala and strong in SQL. Experience in big data processing tools/languages and distributed computing using Spark Scala or similar. Experience with orchestration tools: Apache Airflow or similar tools. Strong knowledge on Unix/Linux OS, commands, shell scripting, python, JSON, YAML. Agile scrum experience in application development is required. Strong knowledge in AWS S3, PostgreSQL or MySQL. Deployment and automation: Terraform, Cloud Formation would be a plus. Strong knowledge in Compute: EC2, EMR, AWS Lambda. Strong knowledge in Gitlab /Bitbucket. AWS Certification is a plus. Mindset and attributes Strong verbal/written communication and interpersonal skills. Must have strong analytical and technical skills in troubleshooting and problem resolution.

Build and optimize extensive data sets, big data pipelines, and architectures. Apply top-notch analytical skills to navigate unstructured datasets effectively. Develop processes supporting data transformation, workload management, data structures, dependencies, and metadata. Conduct root cause analyses on external and internal processes and data to uncover improvement opportunities and answer critical questions. Identify, design, and implement process enhancements, focusing on automation, usability, and scalability. Collaborate seamlessly with product and technology teams to design and validate the capabilities of the data platform. Establish and maintain high programming standards and practices across the ecosystem. Provide support and collaboration with cross-functional teams. Communicate effectively, presenting complex ideas in a clear and concise manner to diverse audiences. QUALIFICATIONS Possess 2+ years of hands-on experience with a diverse range of AWS technologies (e. g. , S3, Lambda, Glue, Athena, IAM, SQS, CloudWatch, CloudFormation). Proficient use of tools such as Git, Gitlab, and Jira. Demonstrated knowledge and proficiency (2+ years) in SQL & Python, Demonstrated knowledge and proficiency (1+ years) in technologies like Apache Superset, Tableau, Spark, Hive, Java and Hadoop. Demonstrated expertise in building and optimizing data pipelines within a distributed environment. Bonus points for experience in building Business Intelligence (BI) Tools. Back your work with either a masters degree, bachelors degree, or equivalent work experience that showcases your prowess. Excellent communication skills, fluent English and ability to work with healthy overlap to US business hours is a must. Join us in reshaping the landscape of data possibilities, where your skills will not only be valued but will play a crucial role in defining what lies ahead.

Develop and enhance our flagship Video, Audio, Automotive and Sports metadata software solutions. Design applications with a Platform-first approach where scale, consistency and reliability are at the core of every decision. As a Software Engineer, you will be responsible for designing, developing, and maintaining high-quality software applications using various technologies. You will be contributing to solutions which acquire, enrich and deliver world s richest content metadata to customers across the globe using technology first approach Key Responsibilities Design, Develop, and maintain scalable and robust applications. Write clean, maintainable, and efficient code following best practices and coding standards. Own the core SDLC phases of implementation, testing, deployment, and maintenance to deliver high-quality software that meets business objectives. While proficiency in requirements gathering and design is advantageous. Able to troubleshoot and debug applications using established methodologies (e.g., log analysis, profiling, code inspection) to pinpoint performance bottlenecks, resolve functional defects, and ensure application stability and optimal resource utilization. Stay up-to-date with emerging technologies and industry trends to continuously improve skills and knowledge. Thrives on continuous learning, demonstrates a keen interest in emerging technologies, and proactively seeks opportunities to expand skillset. Qualifications Bachelors in Computer Science, Engineering or related field. 1 to 3 years of professional experience in Software Development. Strong analytical and logical reasoning skills with a passion for problem-solving and innovation. Solid understanding of data structures, algorithms, and computer science fundamentals. Proficiency in one or more programming languages such as Java, GoLang, Python, C++, SCALA. Knowledge of Data Science is an added advantage. Excellent communication, teamwork and adaptability skills

Evangelize ongoing refinements to playbooks, knowledge base and operational best practices Enforce standardized processes for idea to feature workflows and enforce these standards across Product, Technology and Data Science Implement and configure tools (e. g. , JIRA, Aha) around PDLC for interoperability, measurement, and efficiency. Experience with building scalable status reporting frameworks for data within JIRA Experience using Appsheet to build no-code applications to orchestrate user workflows and reporting Train stakeholders to ensure compliance with new frameworks, maintaining measurability and efficiency. Contribute to recurring planning processes (Quarterly, Annual, etc. ) including templates, communications, governance, and milestone tracking. Gather and report on KPIs around the efficiency and effectiveness of the product development life cycle Lead high-level status and planning meetings across functional groups and engage with appropriate stakeholders. Capture time tracking for the corporate CapEx process in partnership with Finance. Maintain a database and taxonomy of people and products for use across systems. Program management of strategic projects as needed. Help maintain centralized sources of truths for key cross-functional metrics (e. g. , feature requests, support tickets)