{"id":4214382,"url":"https://alion.io/job/thermo-fisher-scientific-senior-software-engineer-python-data-governance-and-analytics","title":"Senior Software Engineer — Python | Data Governance and Analytics","company":{"id":7922,"name":"Thermo Fisher Scientific","domain":"thermofisher.com","url":"https://alion.io/company/thermo-fisher-scientific","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":377,"ghost_share":0,"stale_share":0.729,"repost_share":0.008,"time_to_fill_p50_days":31,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Docker","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-12T00:00:00Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-13T02:05:42Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Work Schedule\nStandard (Mon-Fri)Environmental Conditions\nOfficeJob Description\nExperience Level: 6-9 Years\nTeam: Data Governance and Analytics\nOrganization: Data, AI, and Visualization (DAIV), Global Software R&D\nAbout the team\nThe Data Governance and Analytics Team is part of Data, AI, and Visualization (DAIV) within our global software R&D organization. We are a diverse, distributed team with colleagues across France and the Netherlands.\nWe bring digital technology into our products, solutions, and services, enabling data extraction, analysis, and connectivity. We develop software that supports data governance by managing data definitions, improving data quality, and making data more usable and useful. Our work prepares the organization for the age of AI, supports data-driven design, and enables value creation from data.\nAbout the role\nWe are seeking a Senior Software Engineer with deep technical expertise in Python and Data Governance & Analytics (DGA) systems. In this role, you will design, build, and scale high-performance data pipelines, analytics infrastructure, and governance frameworks that empower our engineering and product teams. You will work closely with cross-functional architecture and DevOps teams to drive automated data ingestion, ensure stringent data quality, and build reliable backend services that support critical operational metrics and reporting.\nKey Responsibilities\nDesign, develop, test, and scaling of robust data ingestion pipelines, data models, and analytics backends using Python.\nImplement and automate data governance standards, metadata tracking, and data lineage mechanisms to ensure high data integrity, security, and compliance.\nBuild capabilities supporting data extraction, processing, analysis, connectivity, and governance.\nImplement data validation and transformation logic to improve consistency, quality, and usability.\nDevelop clear interfaces that enable other teams to integrate and reuse Python components.\nIdentify opportunities to reuse existing software and simplify implementation across projects.\nStructure Python code into maintainable modules and packages with appropriate dependency management.\nCollaborate with architects to define component interfaces, dependencies, and integration approaches.\nWrite automated tests and maintain reliable test coverage for critical functionality.\nParticipate in code reviews and improve code readability, reliability, and maintainability.\nInvestigate defects, troubleshoot software and integration issues, and improve performance where. needed.\nMaintain technical documentation and clear runbooks covering component interfaces, configuration, integration dependencies, and usage.\nCollaborate with software architects and engineers across the wider R&D organization.\nEstablish strong reliability practices (logging/monitoring, retries/backoff, idempotency, concurrency controls, safe cleanup, traceability).\nMentor engineers through code reviews, best practices, and technical leadership.\nWork effectively within an Agile Scrum / SAFe framework, participating in backlog refinement, sprint planning, technical estimation, PI planning, reviews, retrospectives, and cross-team coordination to support predictable and high-quality delivery.\nRequired Skills\nExpert-level proficiency in Python (async programming, data structures, performance optimization, and modular architecture).\nExperience developing shared Python packages or libraries used by other engineering teams.\nAbility to independently develop, test, debug, and maintain Python modules and libraries.\nUnderstanding of Python packaging, dependency management, error handling, and automated testing.\nExperience manipulating data, including cleaning, transforming, validating, or aggregating datasets.\nKnowledge of data analytics concepts.\n· Strong foundation in SQL, relational/non-relational data modelling, and data transformation frameworks.\n· Experience with data governance principles (data quality frameworks, cataloguing, lineage, and metadata management).\nAbility to collaborate effectively with colleagues across locations and disciplines.\nAbility to design modular, reusable, and maintainable software.\nExperience working in an agile DevOps environment.\nExperience using GitLab or GitHub for source control and collaborative development.\nFamiliarity with build pipelines, test automation, and automated deployment.\nUnderstanding of containerization concepts, with familiarity with technologies such as Docker, K8s, Helm, etc\nWorking knowledge of Agile delivery frameworks, including Scrum and SAFe, with experience operating effectively in sprint-based and cross-team planning environments.\nStrong communication and stakeholder management skills, with the ability to work effectively across global, cross-functional teams.\nExperience operating in structured product-development environments with strong quality, compliance, and delivery expectations.\nPreferred Qualifications\nBachelor’s or master’s degree, preferably in a technical or scientific discipline.\n6+ years of software engineering experience with a strong focus on backend development, data engineering, or analytics platforms.","description_format":"text","description_chars":5169,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Diagnostic Tests & IVD","Clinical Trial Services (CRO)","CRO & CDMO Services","APIs & Drug Manufacturing"],"lifecycle":[{"event":"open","at":"2026-11-13T02:05:42Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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