{"id":3519362,"url":"https://alion.io/job/nielseniq-data-engineer-python-java-sql-plsql","title":"Data Engineer (Python, Java, SQL, PL/SQL)","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":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","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":15000,"max_usd":33000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Java","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-30T11:25:06Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-10-31T12:01:17Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"CPS Engineering is looking for a highly motivated Data Engineer to join our team and contribute to the evolution\nof key CPS platforms, including SMP, DV and DSR The successful candidate will play a critical role in designing,\ndeveloping, supporting, and modernizing data and application solutions that are essential to business operations\nand product delivery.\nThis role requires a strong engineering mindset with expertise in data processing, software development, platform\nreliability, and operational excellence. The engineer will work within a SAFe Agile environment, contribute to\nstrategic modernization initiatives, mentor junior engineers, and help drive improvements in security, data quality,\nobservability, scalability, and performance across our platforms.\nKey Responsibilities\nProduct Development & Delivery\nDeliver high-quality software and data engineering solutions aligned with business requirements and\nproduct roadmaps.\nParticipate actively in SAFe Agile ceremonies including PI Planning, Sprint Planning, Reviews, and\nRetrospectives.\nDesign, develop, test, and deploy scalable applications and data processing solutions.\nContribute to the full Software Development Life Cycle (SDLC), from requirements analysis through\nproduction deployment.\nData Quality & Security\nChampion data quality initiatives across CPS platforms.\nEnsure adherence to security standards, secure coding practices, and compliance requirements.\nDrive continuous improvement of platform reliability and quality metrics.\nSupport and improve Quality Management Reviews (QMR) through proactive monitoring and issue\nPlatform Reliability & Operations\nProvide L3 production support and lead root cause analysis for critical incidents.\nImprove platform observability through enhanced monitoring, alerting, and logging capabilities.\nIdentify and implement performance optimization opportunities across applications and databases.\nDrive scalability improvements to support increasing business and data processing demands.\nEngineering Excellence\nBuild and maintain CI/CD pipelines to enable efficient and reliable software delivery.\nPromote engineering best practices including code reviews, automated testing, and DevOps principles.\nContribute to platform modernization initiatives and technical debt reduction.\nLeverage modern engineering practices and emerging technologies, including Agentic AI, to improve\nproductivity, automation, operational efficiency, and software quality.\nTeam Collaboration & Mentoring\nMentor and support junior engineers through knowledge sharing, technical guidance, and code reviews.\nCollaborate closely with Product Managers, Architects, Business Analysts, and Engineering teams.\nContribute to technical discussions, design reviews, and architecture decisions.\nRequired Qualifications\nBachelor's degree in Computer Science, Engineering, Information Technology, or a related field.\n5+ years of experience in Data Engineering, Software Engineering, or Backend Development.\nStrong experience developing enterprise-grade applications and data processing solutions.\nProven ability to troubleshoot complex production issues and drive resolution.\nExperience working in Agile and SAFe development environments.\nStrong analytical, problem-solving, and communication skills.\nExperience mentoring junior engineers and contributing to team growth.\nTechnical Skills\nProgramming & Development\nPython\nJava\nSQL\nPL/SQL\nData Engineering & Databases\nData Modeling\nData Quality Management\nPerformance Tuning\nETL/ELT Processes\nRelational Databases\nDevOps & CI/CD\nGitHub\nGitHub Actions\nCI/CD Pipelines\nAutomated Testing\nQuality & Security\nZephyr Test Management\nCycode\nSecure Development Practices\nVulnerability Remediation\nPlatform Engineering\nObservability & Monitoring\nScalability & Performance Engineering\nProduction Support (L3)\nReliability Engineering\nOur 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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