Data Engineer

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.

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).
• 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).
• Experience working in an Agile/Scrum environment.
• Knowledge of Medical industries or Medical Manufacturing business domains.