{"id":3509870,"url":"https://alion.io/job/nielseniq-senior-software-engineer-5","title":"Senior Software Engineer","company":{"id":9378,"name":"NielsenIQ","domain":"nielseniq.com","url":"https://alion.io/company/nielseniq","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":15,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":14,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12500,"max_usd":29000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":168},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GitHub","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-30T05:42:43Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-03T13:36:03Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"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.\nShape best practices, coding standards, and software architecture at an organizational level \nLead solutions that improve data pipeline quality, performance, and reliability across the organization \nCollaberate 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 \nDeepdive and optimize cost and performance in Snowflake, Azure, and Docker\nDesign, build, and scale data pipelines with Python, SQL, and Snowflake\nDevelop and scale CI/CD workflows Azure, Github, Docker, and Kubernetes. \nWork closely with Product, Architecture, Project Managers, Operations, and other stakeholders from requirement refinement to client enablement\nEnforce and maintain DevSecOps practices - Secrets management, SAST, DAST\nMentor junior engineers and act as a resource for colleagues with less experience \nLead design reviews, code reviews, and roadmap discussions \nDrive POC projects when there is no clear direction or requirements \nAdopt and integrate AI tools at all levels in the SDLC \nMake technical decisions with a clear understanding of business impact, cost-efficiency, and long-term sustainability\n 6+ years of professional experience, ideally in platform engineering building data pipelines that integrate with upstream and downstream systems \nDeep expertise in Python, SQL, and Snowflake \nStrong experience building data pipelines at an enterprise scale \nExperience defining and evolving technical strategy for large-scale distributed systems \nProven ability to balance short-term delivery needs with long-term scalability and maintainability \nExperience in designing, building, deploying, and refactoring enterprise-grade data pipelines\nStrong relational database expertise (Snowflake) \nExperience in modern cloud ecosystems, with strong working knowledge of Azure and Docker\nStrong expertise in DevSecOps pipelines, quality gates, and tools (code coverage, testing, SAST, DAST) \nTrack record of resolving cross-team challenges by fostering open and constructive conversations\n Our Benefits\nFlexible working environment\nVolunteer time off\nLinkedIn Learning\nEmployee-Assistance-Program (EAP)\nNIQ 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/\nAbout NIQ\nNIQ 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.\nFor more information, visit NIQ.com\nWant to keep up with our latest updates?\nFollow us on: LinkedIn | Instagram | Twitter | Facebook\nOur commitment to Diversity, Equity, and Inclusion\nAt 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. 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