Data Integration Expert-etl,data Warehousing
3 weeks ago
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
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