Design and develop scalable business data solutions across the entire data supply chain.
Create and review technical and user-focused documentation for data solutions (data models, data dictionaries, business glossaries, process and data flows, architecture diagrams, etc.).
Develop and maintain transformation logic and data models using dbt.
Solve for complex data integrations across multiple systems.
Collaborate with management, business partners, analysts, developers, architects, and engineers to support data quality efforts.
Expertise (can teach/instruct others): in current data warehousing concepts (using technologies like Bigquery, dbt, etc. to support business-driven decisioning)
SQL and database scripting with data manipulation scripting languages (like Python)
About You:
A passionate and curious individual in Data Analytics subject areas
1-5 years of any relevant experiences in Data Engineering, Data Warehouse, Business Intelligence, Analytics
Good proficiency in writing SQL, either in RDBMS (i.e. MySQL, PostgreSQL, etc) or OLAP (i.e. Bigquery, Snowflake)
Good knowledge in creating a workable business dashboard.
Strong passion in data engineering or business intelligence areas, ability to search or create solutions.
Good communication skills in Bahasa and English. Mostly explaining technical things.
Good workable attitude, something we could invest time to develop.
