Job Description

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.
Min 3 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