Job Description

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing recent pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

Job Description

Engineers in this role build and operate scalable data pipelines on an AWS‑based data platform, working closely with data science teams to productionise models. They support multi‑region operations, troubleshoot production issues, and act as a technical bridge between data science, engineering, and regional operations teams.

- Strong experience in data engineering, designing and operating large‑scale data pipelines in cloud environments
- Hands‑on experience with an AWS‑based data platform, including services such as S3, Glue, Spark, EMR/Lambda, and Airflow
- Proficiency in Python for data processing, orchestration, and automation in production systems




- Solid understanding of data science and modelling concepts, enabling effective collaboration with data scientists and support for model development and deployment
- Experience productionising data science models, including upstream data preparation and downstream integration
- Working knowledge of data ingestion and transfer patterns, including batch, file‑based, API‑based, and streaming approaches
- Experience with data warehousing and analytical data stores, including schema design, ETL/ELT patterns, and performance optimisation
- Strong diagnostic and troubleshooting skills across data pipelines, models, and downstream production impacts
- Experience supporting production data systems, including monitoring, incident resolution, and continuous operational improvement
- Ability to learn, adopt, and contribute to an in‑house data science framework (InMedia), following defined standards and best practices
- Proven ability to work effectively across multiple regions and time zones
- Clear and professional communication skills, translating complex technical issues into actionable insights for engineering, data science, and operations stakeholders

📌 Principal Data Engineer (Pune)
🏢 Nielseniq
📍 Pune