Data Engineer

Job Description

Expert knowledge and multi-year (3+) experience on data transformation, data bases, data governance and data quality management.
• Well-versed in relational database design and experience with processing and managing large data sets (multiple TB scale). (e.g. T-SQL, Microsoft SQL, Oracle)
• Exceptional knowledge of data wareshousing solutions (e.g Teradata , Snowlflake) 
• Exceptional knowledge in Data Warehousing concepts (Data Modelling, STAR Schema, Snowflake Schema and various Data Warehousing concepts)
• Strong knowledge on Extract Transform & Load concept(any tool is fine e.g. SAS DI Studio, Informatica…etc)
• Good know-how & experience on Dataops (Data Orchestration / Workflow management & Monitoring Systems) and suggest improvements / inputs for CI/CD.
• Knowledge of any reporting/BI tool (e.g. Qlik, Tableau, PowerBI, SAS VA etc…)
• Knowledge of Azure cloud based Data Storage and Services like (Azure BLOB, AZURE Databricks, Azure Data Factory, etc) is preferred.
• Knowledge on SAS Code and SAS based tools will be a plus.
• Strong inclination towards working in any BigData projects
• Strong written/communication skill to be work with partners along the globe

Organization: Siemens Healthineers

Company: Siemens Healthineers India LLP

Experience Level: Experienced Professional

Job Type: Full-time

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