Описание

The compulsory medical insurance system operator ensures the provision of medical care to the population.

Building and developing the data layer for a unified AI platform of the Fund
Integrating DWH, internal information systems, documents, and other data sources
Developing ETL/ELT pipelines, data marts, and data quality control mechanisms
Preparing reproducible training datasets and features for ML models
Preparing and maintaining data delivery pipelines in production in collaboration with MLOps/LLMOps
Forming sources for RAG: regulations, internal documents, knowledge bases, metadata, updating and indexing documents
Organizing access control, data storage, and auditing

4+ years of experience as a Data Engineer
Proficient in SQL and Python
Experience in designing DWH, data marts, and integration solutions
Practical experience in building ETL/ELT pipelines using Airflow, Dagster, Prefect or similar
Knowledge of PostgreSQL, ClickHouse, MS SQL, Oracle or similar DBMS
Experience working with APIs, message queues, and file storage
Understanding of data quality, data lineage, metadata management, and data access
Experience processing unstructured documents and preparing data for search/RAG

Experience with Kafka, Debezium, dbt, Spark, MinIO/S3
Experience with Qdrant, OpenSearch/Elasticsearch or other search and vector databases
Experience working with government, medical, or insurance data
Understanding of information security requirements and working in closed environments

Senior Data Engineer