Data Engineer

Responsible for the development and execution of complex and large-scale data structures and ETL pipelines to organize, collect and standardize data into Data Warehouse

Optimize Data Warehouse performance and security

Develop a provision for data recovery

Design and develop data modelss to answer challenging analytical problems of different business units within the organization

Able to build visual dashboard/reports with data from these data marts

Design and develops tools such as Analysis Cube for data analytics based on these data marts

Collaborates cross-functionally to implement new data-driven services to support new products

Write documentations to share work, knowledge and projects with the team. These documentations can be used as hand-over materials later.

Qualifications

BSc, MSc degree in Computer Science related fields

Experience

• 2+ years of related experience in building ETL pipelines
• Familiar with Microsoft Azure Platform
• Proven ability to leverage multiple tools and programming languages to analyse and manipulate large data sets from disparate data sources.
• Knowledge in building Data Warehouse using Microsoft Azure services and framework.
• Knowledge in building Azure Analysis Services (AAS) such as Analysis Cube
• Knowledge in maintaining database security such as creating users, creating roles and granting permissions
• Project management experience (responsible for each phase of new project implementation)

Competencies

• Proficient in using SQL
• Proficient in designing and implementing databases
• A team player having superior ability to communicate technical ideas and results to non-technical partners in written and verbal form.
• Self-motivated, detail oriented and responsible.
• Experience in Machine Learning is a plus.
• Experience in Power BI is a plus
• Knowing R/Python/Java is a plus
• Attention to detail
• Critical thinking
• Good English