NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new 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.

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





Explicit and professional communication skills, translating complex technical issues into actionable insights for engineering, data science, and operations stakeholders

Qualifications

9+ years of hands‑on experience in data engineering, with a proven track record of designing, building, and operating large‑scale, cloud‑based data pipelines.

Deep expertise in AWS‑based data platforms, including:

S3, Glue, EMR, Lambda, and orchestration tools such as Airflow.

Strong proficiency in Python and Spark, focusing on:

Data processing

Workflow orchestration

Automation in production‑grade systems

Solid understanding of distributed data processing, data optimisation, and scalable ETL/ELT patterns.

Experience with Java/Scala frameworks is nice to have.

Data Science & Model Productionisation

Strong exposure to data science workflows, enabling effective collaboration with data scientists throughout the model development lifecycle.

Proven experience productionising machine‑learning models:

Upstream: Feature engineering, input data preparation, data validation

Downstream: Real‑time/batch model integration, scoring pipelines, post‑processing

Hands‑on experience supporting model deployment, monitoring, and troubleshooting model‑related production issues.

Additional Information

Our Benefits

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria.



All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion.

Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative.

For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new 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.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws.

We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

📌 Principal Data Engineer (Pune)
🏢 Nielseniq
📍 Pune