Sr. Expert

NielsenIQ; Vadodara; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

Job summary

NIQ is seeking a seasoned Big Data Engineer to understand diverse data sources (Retailer, eCommerce, Activate, Vendor) and connect them with our internal platform. You will design and implement cross- platform data solutions, leverage new technologies, and optimize processing across large datasets.

Minimum 6 years in big data, with hands-on Databricks and Python, and strong problem-solving skills. Familiarity with cloud-native tools (Snowflake, Azure, AWS) is required.

Qualifications

• Knowledge of Databricks and Python required.
• Experience with SQL for data processing and large data sets.
• Familiarity with cloud native technologies (Snowflake, Azure, AWS).
• Strong understanding of data structures and algorithms.
• Industry-standard frameworks for big data processing.
• Excellent problem-solving and communication abilities.
• Engineering degree in CS/IT or related field.

Responsibilities

• Design standard operational solutions for cloud/non-cloud data management.
• Evaluate and implement new technologies to maximize efficiency.
• Handle large data sets from multiple sources and formats.
• Extract, transform, load, and clean data across sources.
• Query and aggregate large data sets; work with ingestion engines.
• Collaborate with architects/leadership and clients on data projects.
• Manage small to medium data transformation projects end-to-end.

Skills

Databricks

Python

SQL

Big data

Data structures & algorithms

Cloud native

Problem solving

Communication skills

Education

Engineering degree in Computer Science/IT or related

Job description

This role is accountable to be able to understand various data sources e.g. Retailer, eCommerce, Activate and Vendor and link with internal NielsenIQ platform. This role requires to provide solutions to improve process quality, understand emerging technologies, standards and best practices in cross platform development. It also requires to demonstrate mastery in applyingconcepts, and methodologies toinnovative solutions.

Job Responsibilities

• Work closely with Architectures/Technology, Platform Leader and Clients on designing standard Operational solution for various cloud/non-cloud technologies on ways of managing data
• Continuously discover, evaluate, and implement new technologies and frameworks to maximize efficiency
• Handle large data sets with exposure to multiple formats and Tlog/non-Tlog data.
• Ability to extract, transform, load, and clean large data sets from multiple sources.
• Familiarity with managing, querying, and aggregating large data sets.
• Utilize SQL and Python for data processing
• Process data in the Ingestion engine
• Manage small to medium transformation projects independently

Qualifications

• Minimum 6 years of experience in Big data related technologies
• Expertise in Databricks and Python is a must
• Strong foundational knowledge in Data Structures and Algorithms
• Proven track record in solution design and profiling + performance optimization
• Good experience working with large data sets with hands-on technology skills using industry standard frameworks
• Open and quick to learn new technologies and tools
• Experience working on cloud native technologies (Snowflake, Azure, AWS etc..) and platforms would be needed
• Excellent problem solving, hands-on engineering skills and communication skills
• Engineering degree in Computer Science, Information Technology or related field

Additional Information

• Flexible working environment
• Volunteer time off

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 thehttps://nielseniq.com/global/en/news-center/diversity-inclusion

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