Data Engineer (Analytics)

Fazz; Jakarta Pusat; On-site; IDR 180,000,000 - 360,000,000; Full time

Job summary

Fazz is seeking a data engineer to design scalable data warehouse structures and maintain robust ETL pipelines to feed analytics and reporting.

You will collaborate with cross-functional data teams and stakeholders to architect and implement data solutions, ensure data quality, and support data-driven decision making across the business. The role emphasizes data governance, documentation, and leveraging large datasets to optimize processes.

Qualifications

• Experience designing scalable data warehouse architectures.
• Strong ETL development experience.
• Ability to work with cross-functional teams.

Responsibilities

• Design data warehouse structures to meet data analytics and data science requirements.
• Develop and maintain robust ETL pipelines to populate data in the data warehouses.
• Collaborate effectively with stakeholders and cross-functional data team members to architect, develop, and maintain advanced reporting and data visualization capabilities.
• Leverage large volumes of data to support analytics and improve business processes.
• Implement best practices in data engineering, including data integrity, quality assurance, and documentation.
• Apply strong analytical skills to collect, organize, analyze, and present structured and unstructured datasets with high accuracy.

Skills

Data warehouse design

ETL pipelines

Stakeholder collaboration

Data quality & governance

Analytical skills

Data visualization

Job description

• Design data warehouse structures to meet data analytics and data science requirements.
• Develop and maintain robust ETL pipelines to populate data in the data warehouses.
• Collaborate effectively with stakeholders and cross-functional data team members to architect, develop, and maintain advanced reporting and data visualization capabilities.
• Leverage large volumes of data to support analytics and improve business processes.
• Implement best practices in data engineering, including data integrity, quality assurance, and documentation.
• Apply strong analytical skills to collect, organize, analyze, and present structured and unstructured datasets with high accuracy.