Data Engineer

Posted Yesterday
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Pune, Mahārāshtra, IND
Hybrid
Mid level
Big Data • Information Technology
The world's leading consumer intelligence company.​
The Role
Design, develop, test and deploy end-to-end data pipelines. Collaborate with cross-functional teams to align data interfaces, monitor data quality, troubleshoot issues, and improve reliability. Implement best-practice engineering, CI/CD, and infrastructure-as-code to support scalable analytics in a media measurement context.
Summary Generated by Built In
Company Description

NielsenIQ (NIQ) is a leader in data-driven solutions, partnering with the world’s largest brands to deliver insights that drive strategic decisions. With a global presence and deep expertise in analytics and technology, we ensure that companies stay ahead in a constantly changing marketplace. Our mission extends beyond understanding consumer behaviour; it also includes refining and optimizing our internal systems that support the NIQ company operations worldwide.

Job Description

  • The ability to understand at least one data pipeline from a functional and technical perspective end to end, including an in-depth understanding of the data flows involved.
  • Develop, test and deploy (big) data applications.
  • Ensure that all development work in data pipelines follows best practices for ensuring validity, efficiency and maintainability.
  • Collaborate in a distributed, cross-functional agile team to reach shared goals.
  • Take ownership of technical implementations and architecture together with your team and in alignment with communities of practices.
  • Communicate with data producers to align on data exchange formats and interfaces.
  • Communicate with data consumers and other stakeholders in order to help them fulfill their needs to drive the business.
  • Provide suggestions to business in the Media Measurement context on how existing and new data sources can be utilized to enhance our existing product portfolio.
  • Recommend different ways to constantly improve data reliability and quality.
  • Ability to document requirements and implemented solutions.
  • Feeling comfortable as team member of a support team and finding solutions that fulfill our customers' requirements.
  • Strong troubleshooting and problem-solving skills.
  • Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business.

Qualifications

  • 3+ years of working experience as a Data Engineer.
  • You have a bachelor's degree in computer science, software/computer engineering, or applied mathematics.
  • You are curious about finding new and unusual ways of how to solve data management issues.
  • You already have experience with AWS services.
  • You know how to design data structures and manage data access.
  • You know how to monitor data quality.
  • You have solid hands-on experience with Python.
  • You are comfortable writing SQL queries to wrangle data from relational databases and Athena.
  • Intermediate level of Database (SQL) skills to develop SQL queries, function and stored procedures.
  • You have the ability to read code written by others and understand what the code does.
  • You know how to orchestrate data pipelines with Airflow or any other similar data scheduling and orchestration tool.
  • You have experience with CI/CD and ideally also with IaC using Terraform.
  • You are following best practices in software engineering, like pair programming, testing, clean code and agile software development frameworks.
  • You are able to give and take open, constructive feedback.

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

Skills Required

  • 3+ years of working experience as a Data Engineer.
  • Bachelor's degree in computer science, software/computer engineering, or applied mathematics.
  • Hands-on experience with Python.
  • Comfortable writing SQL queries to wrangle data from relational databases and Athena.
  • Intermediate level Database (SQL) skills to develop SQL queries, functions and stored procedures.
  • Experience with AWS services.
  • Experience orchestrating data pipelines with Airflow or a similar scheduling/orchestration tool.
  • Experience with CI/CD practices and tooling.
  • Experience with Infrastructure-as-Code (IaC), ideally Terraform.
  • Ability to design data structures and manage data access.
  • Knowledge of monitoring data quality and recommending improvements.
  • Ability to read and understand code written by others.
  • Strong troubleshooting and problem-solving skills.
  • Following software engineering best practices (testing, clean code, pair programming, agile).
  • Excellent English communication skills for cross-functional collaboration.
  • Curiosity for finding new and unusual ways to solve data management issues.

NielsenIQ Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NielsenIQ and has not been reviewed or approved by NielsenIQ.

  • Parental & Family Support Public materials highlight paid parental leave in the U.S., with additional paid disability time for birth parents. Parental leave is positioned as a standout element of the package.
  • Leave & Time Off Breadth Unlimited or flexible PTO is referenced alongside paid holidays and sick leave, providing broad time-off options in many roles. Actual use can vary by team norms, but the formal breadth is notable.
  • Flexible Benefits Work-from-home and hybrid arrangements are supported in many roles, with remote-friendly practices described across business lines. Flexibility is frequently positioned as a meaningful advantage.

NielsenIQ Insights

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The Company
HQ: Chicago, IL
40,000 Employees
Year Founded: 1923

What We Do

NielsenIQ is the industry leader in global measurement and data analytics, and the most trusted source for retail and consumer intelligence. We deliver the complete truth to retailers, manufacturers, and our partners through our comprehensive data sets and powerful insights. We enable businesses to make critical decisions confidently, accelerating growth and optimizing performance.

Why Work With Us

We empower companies around the world to make bold decisions and transform their business with trusted data, solutions, and insights. Joining NielsenIQ means experiencing countless learning opportunities and gaining numerous pathways for growth.

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