{"id":2274532,"url":"https://alion.io/job/thermo-fisher-scientific-lead-data-engineer","title":"Lead Data Engineer","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":78,"open_postings":153,"ghost_share":0,"stale_share":0.869,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":{"label":"IST","utc_offset_min":5.5,"utc_offset_max":5.5},"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Manila, 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Conditions\nOfficeJob Description\nSummarized Purpose:\nWe are seeking a Lead Data Engineer to own the complete lifecycle of enterprise data pipelines from development to production, including roadmap planning, scalable ETL architecture, AWS data services, secure PHI/PII handling, healthcare data standards, AI-assisted mapping automation, data quality, transformation, catalog standards, and RAG-enabled data solutions.\nEducation/Experience:\nBachelor's degree or equivalent in Computer Science, Information Technology, Data Engineering, or related field\n7+ years of experience in data engineering, ETL development, cloud data platforms, healthcare or regulated data environments, and production data pipeline delivery\nMajor Job Responsibilities:\nDesign, develop, deploy, and operate scalable ETL and data pipelines using PySpark, Python, advanced SQL, and AWS data services\nOwn data pipeline lifecycle from requirements, mapping, development, testing, deployment, monitoring, production support, release management, and future roadmap planning\nBuild ingestion and transformation pipelines for flat files, relational databases, APIs, data warehouses, healthcare data sources, and enterprise data platforms\nImplement mapping automation, preferably using AI, along with LLM-assisted data cleaning, transformation, data quality checks, and RAG use cases\nImplement secure handling of PHI/PII data including encryption, access controls, auditability, retention, masking, de-identification, governance, and operational readiness\nKnowledge, Skills, and Abilities:\nAdvanced expertise in PySpark, Python, advanced SQL, ETL best practices, data modeling, and large-scale data processing\nStrong hands-on experience with AWS services including S3, Glue, Lambda, Step Functions, ECS, DynamoDB, Redshift, RDS/PostgreSQL, and related data services\nExperience with PostgreSQL, SQL Server, Redshift, flat files, complex source-to-target mappings, HL7, claims data, EMR extracts, and clinical trial 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transformation logic, documentation, and patient de-identification support\nExperience with RAG patterns, embeddings, vector databases, semantic search, or AI-enabled data discovery solutions\nFamiliarity with infrastructure as code such as Terraform or CloudFormation, plus streaming, Databricks, Snowflake, observability, and DevOps practices\nWorking Hours:\nIndia: 05:30 PM to 02:30 AM IST\nPhilippines: 08:00 PM to 05:00 AM PHT","description_format":"text","description_chars":3421,"description_truncated":false,"requirements":{"experience_years_min":7,"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":["Biotechnology","Health Care","Cell & Gene Therapy","APIs & Drug 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