Senior Data Engineering & Analytics
Summary
Design and build scalable data pipelines and warehouses using BigQuery, dbt, and SQL to support business analytics and decision-making.
- 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
- 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, 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.