Ambu Global Hub is looking for a Data Systems Specialist. This data and analytic team is working in a global environment. By joining this team, you will be part of the large global IT team.
Role Responsibilities:
As a Data Systems Specialist / Data Engineer, you’ll be responsible for:-
1. Data Warehousing:
- Managing and maintaining the data warehouse to ensure data integrity and availability.
- Implementing data warehousing concepts and architecture, such as Ralph Kimball methodologies.
- Integrating data from various sources, ensuring seamless data flow and consistency across systems.
- Developing and maintaining data integration processes to support business operations.
2. ETL Development:
- Building and maintaining dynamic and complex ETL processes.
- Extracting, transforming, and loading data into the data warehouse.
3. Data Modelling and Design:
- Designing and creating data models that facilitate efficient querying and reporting.
- Ensuring data accuracy and consistency.
4. Performance Tuning and Optimization:
- Ensuring data systems perform efficiently.
- Monitoring query performance.
- Fine-tuning data retrieval processes.
5. Data Governance and Security:
- Implementing data governance policies and ensuring data security.
- Implementing access controls.
- Managing data lineage and compliance.
6. Report and Dashboard Development:
- Ability to understand or create interactive dashboards, reports, and visualizations for business users.
- Empowering business users with self-service reporting.
Qualifications:
- Minimum of 3 years solid in Data Warehousing, Data Engineering, or Business Intelligence Development (Must).
- At least 3 year(s) of experience with SQL, Data Integration, Implementing Data Quality Checks and Data Modelling (Must).
- Proficiency in MS SSIS, Azure Data Factory, SQL, MS SQL Database, Azure DevOps, and Data Integration Tools (Must).
- Experience with Power BI, ServiceNow, Qlik, Tableau, C, C++, C#, Python, or R (Beneficial).
- Solid understanding of Ralph Kimball methodologies (Must).
- Experience with ETL development, Data Integration, and Data Warehousing (Must).
- Ability to analyse complex, large data sets, data models, data mining, and segmentation techniques for a global organization (Must).
- Fluent in English (Must).
- Certificates from Microsoft in Azure Data Platform, Azure Data Factory, Power BI, Database, ETL Tools, and SQL Server/Cloud Services (Preferred).
- Self-starter, principled, and driven to do the right thing for the organization (Preferred).
Bonus points for:
- Experience working in an Agile/Scrum environment.
- Knowledge of Medical industries or Medical Manufacturing business domains.
