Machine Learning Engineer
R
RealAdvisorReal estate technology
Workable locations: Lithuania. Estonia. Czechia. Moldova. Ukraine. SpainFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years in a Data Science or Data Engineering role, with hands-on ownership of production systems.
- Required Skills
- DockerPythonSQLETLKubernetesAirflowClickhouse
Requirements
- Have 3+ years of experience in a Data Science or Data Engineering role.
- Have hands-on ownership of production systems.
- Write clean, modular, maintainable Python code for production.
- Have strong geospatial understanding, including projections, polygons, spatial joins, and visualizing density and patterns.
- Have solid Docker and Kubernetes experience, including debugging and troubleshooting live environments.
- Have advanced SQL expertise, especially with PostGIS or similar spatial extensions.
- Have deep hands-on Airflow experience building and maintaining reliable data pipelines.
- ClickHouse experience is a plus.
Responsibilities
- Design and deploy automated Airflow ETL pipelines to ingest real estate transactions, listings, and geospatial data.
- Compute spatial metrics, including pricing honeycombs and average prices per neighborhood, using PostGIS and Python.
- Maintain and optimize the Kubernetes environment where data pipelines and models run.
- Transform analytical outputs into interactive vector tile map layers that integrate with Mapbox.
- Build and operate the full data lifecycle behind real estate insights, from pipeline orchestration to geospatial visualization.
- Debug Airflow DAGs, troubleshoot live environments, and optimize analytical queries.
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