Senior Data Engineering Lead at NielsenIQ

Pune City, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

29 Jun, 26

Salary

0.0

Posted On

31 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Leadership, Data Pipelines, Data Warehouse, dbt, Snowflake, Azure Data Factory, ADF, Python, Power BI, Data Modeling, SQL, Stakeholder Management, Global Teams, AI Initiatives, Engineering Standards

Industry

Software Development

Description

Job Description We’re looking for a Senior Data Engineering Lead who can combine strong technical expertise with leadership and business collaboration to drive enterprise data transformation. This is a high-visibility role where you’ll work with global stakeholders, design scalable solutions, and enable advanced analytics & AI initiatives. What You’ll Do • Lead design and development of scalable data pipelines and data warehouse solutions to support Finance operation. • Build and manage data transformations using dbt. • Architect and optimize Snowflake data platforms for performance and cost efficiency. • Develop ingestion and orchestration workflows using Azure Data Factory (ADF). • Build automation, data processing, and pipeline logic using Python. • Enable analytics and reporting through optimized Power BI data models. • Partner with business and analytics teams to convert requirements into scalable solutions. • Collaborate with teams across different time zones and drive delivery. • Mentor and manage a team of data engineers, setting best practices and engineering standards. • Support AI initiatives by enabling high-quality, analytics-ready datasets. Qualifications • 10+ years in Data Engineering / Data Platform roles • Strong hands-on expertise in dbt, Snowflake, and ADF • Strong Python programming for data engineering and automation • Advanced SQL and data modeling skills • Experience with Power BI data modeling • Exposure to AI data use cases Leadership & Engagement • Strong stakeholder, client, and vendor management capabilities • Experience collaborating across global teams and time zones • Strong communication, ownership mindset, and architectural decision-making ability 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://www.nielseniq.com/global/en/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 Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook 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 Compensation: INR 0 - INR 0 - yearly

Responsibilities

The lead will drive enterprise data transformation by designing and developing scalable data pipelines and data warehouse solutions, primarily supporting Finance operations. This includes building and managing data transformations using dbt and architecting Snowflake platforms for performance and cost efficiency.