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We are seeking an experienced and highly motivated Senior Manager Engineering to lead a high-performing software engineering team responsible for delivering critical capabilities within a data-driven platform powered…
As a Principal Analyst in the Market Insights (MI) business process, you will play a pivotal role in driving operational excellence and data integrity. This senior-level position demands deep expertise in executing BAU…
Senior Manager, AI Pune About the role The Senior Engineering Manager within the NIQ Analytics organization will report to the Director, Analytics Engineering and be responsible for leading a high-performing team of…
Senior Software Engineer Chennai About the Job The SA&I team manages survey platforms and panel management software, supporting key business processes and ensuring high-quality data collection and analysis. Our…
This role is for a Java Full Stack Developer responsible for building and maintaining scalable web applications using Java, Spring Boot, and Angular. The position involves designing microservices, managing databases, and integrating AI/Generative AI capabilities into software solutions.
The Associate Software Engineer will design, develop, and maintain data processing systems using Oracle PL/SQL, Python, and Java. The role involves building scalable data engines and implementing AI and Generative AI solutions within an Azure-based environment.
Key Responsibilities: Design, develop, and deliver scalable microservices from architecture through production deployment. Lead backend system design and implementation, ensuring robust, secure, and maintainable…
Build and maintain scalable data pipelines and ML workflows on GCP, deploying models from notebooks to production using orchestration tools like Airflow.
Senior Business Analyst analyzing structured and unstructured data, validating data quality with SQL and BI tools, supporting client queries, and driving process automation in a hybrid role in Sofia.
Principal Data Operations Analyst driving operational excellence through advanced data coding, matching, and quality checks, while leading team coordination and stakeholder engagement for BAU production workflows. Core technologies include Machine Learning (required) and Python, SQL, Excel.
So where do you fit here? Our client comes first. This means that NielsenIQ support specialists are here to help. As a Support Specialist, you will be responsible for high quality and in-depth technical support to…
At NIQ, we deliver the most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Our Retail Analytics team partners with leading retailers to provide data-driven insights,…
The Site Reliability Engineer will design and manage cloud infrastructure on AWS using Terraform and Kubernetes to support data-driven applications. The role involves automating CI/CD pipelines, managing tools like Airflow and Snowflake, and ensuring system reliability through monitoring and troubleshooting.
We are seeking a Data Scientist to support innovative measurement solutions that help reinvent how consumer shopping behavior is measured across APAC (Asia-Pacific) markets. As part of the Product Design &…
Senior Engineering Manager at NielsenIQ splitting time 50/50 between engineering leadership (reviews, planning, delivery) and hands-on coding of scalable Java/Spring Boot microservices with containerized APIs.
You’ll be joining a team that delivers high-quality U.S. e-commerce data. With over 16 years of experience, we know our craft, and we’re always evolving. In this role, you’ll use your analytical skills to make sure our…
Lead Data Scientist developing and refining data processing pipelines and analytical methodologies using Python and PySpark on large datasets at a consumer intelligence company.
Develops and maintains automated test frameworks for ETL pipelines using Python, PySpark, SQL, and Databricks to ensure data integrity and reliability in a cloud-based data ecosystem.
Senior Data Scientist analyzes large consumer and retail datasets to validate data quality, improve statistical methodologies, and ensure accuracy of measurement products for consumer insights.
Build and maintain automated test frameworks for a cloud-based big-data analytics platform using Python, PySpark, SQL, Databricks, and Playwright/Selenium to validate data pipelines and services.
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