About Rukita:
Rukita is a property technology (proptech) company that provides long-stay rental housing solutions with end-to-end and hassle-free services in Indonesia. The company builds a holistic ecosystem of housing solutions for both tenants & landlords. It provides quality, accessible housing for the young generation while assisting landlords in transforming their assets into high-yield rental properties.
Key Responsibilities:
- Develop and maintain scalable, cost-efficient data pipelines (ETL/ELT) from multiple sources (databases, APIs, web pages, and files)
- Develop and maintain data warehouses and data lakes for structured and semi-structured data.
- Build and maintain APIs and other data exchange interfaces.
- Ensure high availability and observability for all critical data services (e.g. BI Tools, Reverse ETL, Orchestrator).
- Maintain data-related repositories, work towards 0 silo, document clearly, and gracefully manage tech debts
- Actively communicate to all relevant stakeholders; push and influence the prioritization of data-driven projects from Data Engineering perspectives
Requirements:
- Bachelor's Degree in Computer Science, Engineering, or other relevant technical fields.
- 5+ years of experience in data engineering, with a proven track record of building and maintaining complex data pipelines, integration layers, and data warehouses while managing the costs of running the data operations
- Deep understanding of data modeling concepts and best practices
- SQL and Python Mastery
- Expertise in self-hosted, open-source modern data pipeline tech stack deployed in cloud platforms. Plus points if you have professional experience in:
- Data pipeline: airflow, dbt, dask
- Cloud platform: AWS, GCP
- DWH and BI: bigquery, metabase
- Experience in version control (git & CI/CD for automated deployments)
- Experience in data streaming processes (e.g. Pub/Sub, Kafka)
- Experience in observability tooling; setting up Alloy/OpenTelemetry, monitoring (e.g. Grafana), and optimizing performance
- Active, comprehensive, and clear communication, both in spoken and written manners
- Experience in MLOps is a plus
- Experience in leveraging LLMs in improving a data team's process workflow is a plus
