{"id":3845045,"url":"https://alion.io/job/cloud-sara-technologies-senior-data-engineer-databricks-and-snowflake","title":"Senior Data Engineer Databricks and Snowflake","company":{"id":3798317,"name":"Cloud Sara Technologies","domain":"saratechnologies.co.in","url":"https://alion.io/company/cloud-sara-technologies","size_band":"51-200","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data 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domain of histopathology\n\nResponsibilities:\nDesign, build, and maintain scalable data pipelines for acquiring, integrating, and managing data from diverse data generation sources and systems (e.g., lab systems, MES, clinical supply, quality systems, external partners).\nCreate and optimize data flows for structured and unstructured data using Python (PySpark), R, SQL, Databricks, Snowflake, and other modern engineering tools.\nDevelop and maintain specific data repositories, implementing enterprise-level data models, and creating new models as needed.\nEnable AI/ML readiness by ensuring data is well-structured, versioned, traceable, and semantically aligned with enterprise data standards.\n\nWhat we expect:\nBachelor’s degree in Engineering, Data Science, Life Sciences, Computer Science, or related field; advanced degree preferred.\n6+ years of experience in data engineering, including data modeling and database design, preferably in a scientific, manufacturing, or healthcare environment.\nProficiency with Python, R, SQL, and cloud-based architectures (AWS services, Snowflake, Databricks, Redshift) along with Spark and dbt.\nProficiency in RDS\nExpertise in ETL and DWH.\nExperience with NoSQL and graph databases.\nEnglish language proficiency of B2+\nStrong analytical, problem-solving, and stakeholder-management skills, with the ability to translate discussions into actionable requirements.\nAbility to drive multiple exciting projects simultaneously with strong organizational skills and adaptability.\n\nNice to have:\nExperience working with the histopathology domain\nExperience with regulated or standards-driven data environments, such as CDISC, HL7, FHIR, OMOP, DICOM, or manufacturing/quality data standards.\nFamiliarity with high dimensional data (e.g., imaging, sensor data, etc).\nExperience with principles connecting to or feeding MLOps and model deployment workflows.\nKnowledge of manufacturing systems (MES), laboratory information systems, or industrial data systems.\nExposure to knowledge graph or ontology-driven architectures.\nSkills\nData modeling, Python, React.js, SQL, AWS services, NOSQL Databases, CDISC, HL7, FHIR, OMOP, DICOM","description_format":"text","description_chars":2392,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Custom Software Development","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-11-06T00:23:45Z"}],"visa":[],"liveness":{"score":85,"band":"hot","label":"Hiring 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