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A leading finance company in Jakarta Utara is seeking a skilled Data Engineer to design, implement, and optimize data warehouse systems. The role involves building dimensional models for efficient analytics and mentoring junior engineers. Candidates should have 5+ years in data engineering, strong SQL skills, and familiarity with ETL/ELT processes. This is a full-time position based in Indonesia.
Design, implement, and optimize enterprise‑grade data warehouse systems with a focus on Kimball dimensional modeling to support analytical and operational requirements.
Build business‑friendly dimensional models (facts, dimensions, star schemas, snowflake schemas) to enable efficient reporting, self‑service analytics, and scalable growth.
Lead the development, monitoring, and optimization of ETL/ELT pipelines, ensuring high‑quality, accurate, and timely data ingestion.
Write, refine, and optimize SQL queries for performance and reliability across high‑volume datasets.
Partner with Data Analysts, Data Scientists, and Business stakeholders to translate business needs into robust data solutions while ensuring data consistency, security, and governance.
Establish and maintain best practices, documentation, and standards for data modeling, pipelines, and workflows.
Guide and mentor junior engineers, fostering a culture of technical excellence and continuous learning within the team.
Job Type: Full‑time
Alibaba Cloud: 3 years (Required)
Maxcompute: 3 years (Required)
Depok, West Java, ID