Job Description:
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.).
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 Redsift, Spark, Hadoop, web services, etc to support business-driven decisioning)
SQL and database scripting
With data manipulation scripting languages (like Python or Scala)
With Data Science toolsets and technology stacks
Requirements:
A passionate and curious individual in Data Engineering and 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, Redshift, Oracle, etc.)
Ability to write robust and scalable code in Python or other scripting programming language
Good knowledge in creating a workable business dashboard.
Basic proficiency or experience in infrastructure setup using cloud services (i.e. AWS, GCP, Azure).
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.
