Senior Software Engineer - New

NetVerks Inc.; Chennai; On-site; INR 3,500,000 - 7,000,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Job summary

NetVerks Inc. seeks a Senior Data Engineer to design, build, validate, secure, optimize, and maintain enterprise-grade data pipelines using Python, SQL, and Snowflake. You will be knowledgeable in cloud infrastructure, data warehousing, workflow orchestration, CI/CD, and DevSecOps.

You will shape coding standards, lead improvements, and optimize Snowflake/Azure costs. Collaboration with Product, Architecture, and Operations is essential, with mentoring of junior engineers and leadership in

Qualifications

• 6+ years of professional experience in platform engineering building data pipelines
• Deep expertise in Python, SQL, and Snowflake
• Experience building data pipelines at an enterprise scale
• Experience defining and evolving technical strategy for large-scale distributed systems
• Proven ability to balance short-term delivery needs with long-term scalability and maintainability
• Experience in designing, building, deploying, and refactoring enterprise-grade data pipelines
• Strong relational database expertise (Snowflake)
• Experience in modern cloud ecosystems, with strong working knowledge of Azure and Docker
• Strong expertise in DevSecOps pipelines, quality gates, and tools (code coverage, testing, SAST, DAST)
• Track record of resolving cross-team challenges by fostering open and constructive conversations

Responsibilities

• Shape best practices, coding standards, and software architecture at an organizational level
• Lead solutions that improve data pipeline quality, performance, and reliability across the organization
• Collaborate and solve a range of technical problems with judgment from analysis on multiple feasible solutions
• Deepdive and optimize cost and performance in Snowflake, Azure, and Docker
• Design, build, and scale data pipelines with Python, SQL, and Snowflake
• Develop and scale CI/CD workflows Azure, Github, Docker, and Kubernetes
• Work closely with Product, Architecture, Project Managers, Operations, and stakeholders from requirement refinement to client enablement
• Enforce and maintain DevSecOps practices — Secrets management, SAST, DAST
• Mentor junior engineers and lead design reviews and roadmap discussions
• Drive POC projects when there is no clear direction or requirements
• Adopt and integrate AI tools at all levels in the SDLC
• Make technical decisions with a clear understanding of business impact, cost-efficiency, and long-term sustainability

Skills

Python

SQL

Snowflake

Azure

Docker

CI/CD

SAST

DAST

Data pipelines

Tools

Snowflake

Azure

Docker

Kubernetes

Job description

We are seeking a Senior Data Engineer to design, build, validate, secure, optimize, and maintain enterprise grade data pipelines using Python, SQL, and Snowflake and be knowledgeable in cloud infrastructure, data warehousing, workflow orchestration, CI/CD, and DevSecOps.

• Shape best practices, coding standards, and software architecture at an organizational level
• Lead solutions that improve data pipeline quality, performance, and reliability across the organization
• Collaberate and solve a range of technical problems of varying scope and complexity, take a new perspective on existing solutions, and exercise judgment from analysis on multiple feasible solutions
• Deepdive and optimize cost and performance in Snowflake, Azure, and Docker
• Design, build, and scale data pipelines with Python, SQL, and Snowflake
• Develop and scale CI/CD workflows Azure, Github, Docker, and Kubernetes.
• Work closely with Product, Architecture, Project Managers, Operations, and other stakeholders from requirement refinement to client enablement
• Enforce and maintain DevSecOps practices — Secrets management, SAST, DAST
• Mentor junior engineers and act as a resource for colleagues with less experience
• Lead design reviews, code reviews, and roadmap discussions
• Drive POC projects when there is no clear direction or requirements
• Adopt and integrate AI tools at all levels in the SDLC
• Make technical decisions with a clear understanding of business impact, cost-efficiency, and long-term sustainability

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

• 6+ years of professional experience, ideally in platform engineering building data pipelines that integrate with upstream and downstream systems
• Deep expertise in Python, SQL, and Snowflake
• Strong experience building data pipelines at an enterprise scale
• Experience defining and evolving technical strategy for large-scale distributed systems
• Proven ability to balance short-term delivery needs with long-term scalability and maintainability
• Experience in designing, building, deploying, and refactoring enterprise-grade data pipelines
• Strong relational database expertise (Snowflake)
• Experience in modern cloud ecosystems, with strong working knowledge of Azure and Docker
• Strong expertise in DevSecOps pipelines, quality gates, and tools (code coverage, testing, SAST, DAST)
• Track record of resolving cross-team challenges by fostering open and constructive conversations