Data Engineer (Python, Java, SQL, PL/SQL)

NielsenIQ · Consulting & Professional Services

Chennai, TN, India
On-site
Posted today
Data & AI
Full-time

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About the job

CPS Engineering is looking for a highly motivated Data Engineer to join our team and contribute to the evolution

of key CPS platforms, including SMP, DV and DSR The successful candidate will play a critical role in designing,

developing, supporting, and modernizing data and application solutions that are essential to business operations

and product delivery.

This role requires a strong engineering mindset with expertise in data processing, software development, platform

reliability, and operational excellence. The engineer will work within a SAFe Agile environment, contribute to

strategic modernization initiatives, mentor junior engineers, and help drive improvements in security, data quality,

observability, scalability, and performance across our platforms.

Key Responsibilities

Product Development & Delivery

Deliver high-quality software and data engineering solutions aligned with business requirements and

product roadmaps.

Participate actively in SAFe Agile ceremonies including PI Planning, Sprint Planning, Reviews, and

Retrospectives.

Design, develop, test, and deploy scalable applications and data processing solutions.

Contribute to the full Software Development Life Cycle (SDLC), from requirements analysis through

production deployment.

Data Quality & Security

Champion data quality initiatives across CPS platforms.

Ensure adherence to security standards, secure coding practices, and compliance requirements.

Drive continuous improvement of platform reliability and quality metrics.

Support and improve Quality Management Reviews (QMR) through proactive monitoring and issue

Platform Reliability & Operations

Provide L3 production support and lead root cause analysis for critical incidents.

Improve platform observability through enhanced monitoring, alerting, and logging capabilities.

Identify and implement performance optimization opportunities across applications and databases.

Drive scalability improvements to support increasing business and data processing demands.

Engineering Excellence

Build and maintain CI/CD pipelines to enable efficient and reliable software delivery.

Promote engineering best practices including code reviews, automated testing, and DevOps principles.

Contribute to platform modernization initiatives and technical debt reduction.

Leverage modern engineering practices and emerging technologies, including Agentic AI, to improve

productivity, automation, operational efficiency, and software quality.

Team Collaboration & Mentoring

Mentor and support junior engineers through knowledge sharing, technical guidance, and code reviews.

Collaborate closely with Product Managers, Architects, Business Analysts, and Engineering teams.

Contribute to technical discussions, design reviews, and architecture decisions.

Required Qualifications

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.

5+ years of experience in Data Engineering, Software Engineering, or Backend Development.

Strong experience developing enterprise-grade applications and data processing solutions.

Proven ability to troubleshoot complex production issues and drive resolution.

Experience working in Agile and SAFe development environments.

Strong analytical, problem-solving, and communication skills.

Experience mentoring junior engineers and contributing to team growth.

Technical Skills

Programming & Development

Python

Java

SQL

PL/SQL

Data Engineering & Databases

Data Modeling

Data Quality Management

Performance Tuning

ETL/ELT Processes

Relational Databases

DevOps & CI/CD

GitHub

GitHub Actions

CI/CD Pipelines

Automated Testing

Quality & Security

Zephyr Test Management

Cycode

Secure Development Practices

Vulnerability Remediation

Platform Engineering

Observability & Monitoring

Scalability & Performance Engineering

Production Support (L3)

Reliability Engineering

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

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