Senior Data Engineer at NielsenIQ

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

19 May, 26

Salary

0.0

Posted On

18 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sql, Python, PySpark, Scala, Airflow, Azure ADLS, Data Modeling, Data Architecture, ETL Development, Data Validation, Snowflake, Polars, SingleStoreDB, Postgres, GenAI, GitHub Copilot

Industry

Software Development

Description

Job Description Role Overview: We are seeking a highly skilled Senior Data Engineer with 6+ years of experience to design, build, and optimize data pipelines and architectures that enable advanced analytics and AI-driven solutions. The ideal candidate will have strong expertise in modern data engineering tools and frameworks, with a passion for solving complex data challenges and delivering scalable, high-quality solutions. Key Responsibilities: Design and implement data models and data architectures to support business and analytics needs. Develop and maintain ETL pipelines using SQL, Python, PySpark, Scala, and Airflow. Work with Azure ADLS for data storage and management. Ensure data validation, quality, and integrity across all stages of data processing. Collaborate with cross-functional teams to deliver high-quality data solutions within agreed timelines. Troubleshoot and optimize data workflows for performance and scalability. Explore and integrate GenAI capabilities into data workflows, leveraging tools like GitHub Copilot and agent-based workflows. Qualifications Required Skills: Programming: SQL, Python, PySpark, Scala Data Platforms: Azure ADLS Workflow Orchestration: Airflow Data Modeling & Architecture ETL Development & Data Validation Nice-to-Have Skills: Experience with Snowflake, Polars, SingleStoreDB, and Postgres Familiarity with GenAI tools and usage, including GitHub Copilot and agent workflows What We Value: Strong problem-solving skills and ability to handle complex data challenges. Collaborative mindset and willingness to share knowledge with the team. Curiosity to learn and adapt to emerging technologies. 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

Responsibilities

The role involves designing and implementing data models and architectures to support business needs, alongside developing and maintaining ETL pipelines using various programming languages and tools like Airflow. Responsibilities also include ensuring data quality, troubleshooting workflows, and exploring the integration of Generative AI capabilities.