As a Data Integration Expert, you are required to: • Develop prototypes and proof of concepts using multiple data-sources, AI/ML methods and big-data technologies • Implement / Deploy large, structured and unstructured databases based on scalable cloud infrastructures • Port data across data-sources /DB systems in order to improve performance, scalability or to facilitate analytics. • Develop technical solutions which combine disparate information to create meaningful insights for business, using Big-data architectures (supportive role along with Data Architect) • Stay curious and enthusiastic about using related technologies to solve problems and enthuse others to see the benefit in business domain Qualification: Bachelor's or Master's in Computer Science & Engineering, or equivalent. Professional Degree in Data Science, Engineering is desirable. Experience level: At least 3 - 5 years hands-on experience in the area of DB; with working experience on Data Engineering, ETL, Data Warehousing & Data Analytics in at least 2 projects. Desired Knowledge & Experience: • Expert knowledge and multi-year (2+) experience on data transformation, data bases, data governance and data quality management. • Experience in conventional DB technologies (RDBMS, Object Oriented) • Experience in using query languages such as SQL • Hands-on expertise in modern big data technologies such as SAS , Databricks, Spark and distributed databases (e.g. Teradata). • Experience with NoSQL databases such as MongoDB, Cassandra, HBase, is desirable. • Knowledge of Cloud technologies and frameworks in Microsoft Azure and Amazon AWS environment is desirable • 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. • Sound knowledge in programming languages like Python, R will be an added advantage •Strong inclination towards working in any BigData projects • Strong written/communication skill to be work with partners along the globe Required Soft skills & Other Capabilities: • Great attention to detail and good analytical abilities. • Good planning and organizational skills • Collaborative approach to sharing ideas and finding solutions • Ability to work independently and also in a global team environment. • Documentation and Presentation skills Organization: Siemens Healthineers Company: Siemens Healthineers India LLP Experience Level: Experienced Professional Full / Part time: Full-time