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

NetVerks Inc.

Chennai

On-site

INR 1,500,000 - 2,800,000

Full time

11 days ago

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Benefits offered by this job

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Job summary

NIQ is hiring a Senior Backend/Data Engineer in Chennai to deliver enterprise-grade software and data processing solutions. You will participate in SAFe ceremonies, design and implement scalable systems, and contribute to SDLC from requirements to production deployment.

You will also drive data quality, security, and platform reliability while mentoring junior engineers and collaborating with PMs, architects, and analytics teams.

Qualifications

Bachelor's degree in Computer Science, Engineering, IT, or related field.
5+ years of experience in Data Engineering, Software Engineering, or Backend Development.
Proven ability to build enterprise-grade applications and data processing solutions.
Troubleshooting complex production issues and driving resolution.
Experience with Agile and SAFe development environments.
Strong analytical, problem-solving, and communication skills.
Experience mentoring junior engineers and contributing to team growth.

Responsibilities

Deliver high-quality software and data processing solutions aligned with roadmaps.
Participate in SAFe Agile ceremonies including PI Planning and Sprint Planning.
Design, develop, test, and deploy scalable applications and data processing systems.
Support full SDLC from requirements through production deployment.
Provide L3 production support and lead root-cause analysis for incidents.
Improve platform observability, monitoring, and logging capabilities.
Promote engineering best practices: code reviews, automated testing, DevOps.

Skills

Python

Java

SQL

PL/SQL

Agile & SAFe

Education

Bachelor's degree in Computer Science or related field

Tools

GitHub

GitHub Actions

CI/CD Pipelines

Automated Testing

Zephyr

Job description

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.

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

Requirements

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