Senior Data Engineer (Hybrid)

Position: Senior Data Engineer
Location: Ermita, Manila
Work set up: Hybrid
Schedule: M-F (Morning shift)

Responsibilities:
Responsible for constructing and maintaining data pipelines that extract, transform, and load data from diverse data sources into centralized repositories, such as data warehouses, lakehouses, and databases.
Implement physical data models to effectively structure and organize data for efficient storage and analysis, while ensuring data integrity optimization.
Develop processes to transform raw data into a usable format for analysis and reporting purposes

Qualifications:
Bachelors degree in Computer Science, Information Technology, Mathematics, or an equivalent field.
Minimum of 6 years of hands-on progressive experience in Data Engineering.
At least 6 years of experience in ETL, ELT, data warehousing, and data modeling.
At least 3 years of delivering solutions on the Microsoft Azure Platform, with exposure to data solutions and services such as Microsoft Fabric, and Data Factory.