As a Data Engineer, you are required to:
- Able to work in large enterprise Data Warehouse and create/manage Data Marts
- Built and maintain complex ETL pipeline to create smart Data Marts which will be consumed by the various downstream business
- Understand the data marts requirement from the business perspective and be able to give a robust solution to create the same
- Port data across data-sources /DB systems to improve performance, scalability or to facilitate analytics.
- Develop technical solutions which combine disparate information to create meaningful insights for business, using best data architecture principles (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 – 4 years hands-on experience in Data Warehousing, ETL and RDBMS. Experience on Data Analytics and should be inclined towards cloud technologies like Azure/AWS.
Desired Knowledge & Experience:
- Expert knowledge and multi-year (4+) experience on Data Warehousing, ETL, Data Modeling & Data migration projects
- 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 warehousing 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
- Sound knowledge in any scripting languages like Python/UNIX shell script 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.
Organization: Siemens Healthineers
Company: Siemens Healthineers India LLP
Experience Level: Experienced Professional
Job Type: Full-time
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