Senior Data Engineering & Analytics

About The Role:

• 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)

• A passionate and curious individual in Data Analytics subject areas
• Having minimum 3 years of any relevant experiences in Data Engineering, Data Warehouse, Business Intelligence, Analytics
• Good proficiency in writing SQL, either in RDBMS (i.e. MySQL, Postgre
  
  SQL, 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.