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описание
Lineate is an international software development company that builds AI-driven custom solutions, cloud and data infrastructure, and provides specialized experts for team augmentation. Its product is a real estate and mortgage technology platform that supports the home-buying journey from property search through closing.
задачи
Build and maintain reliable, scalable ETL/ELT pipelines and data platform components
Integrate data from databases, APIs, files, and third-party systems
Clean, normalize, transform, and map messy, incomplete, and inconsistent data, often without reliable unique keys
Develop solutions for record matching, deduplication, reconciliation, and entity resolution across different data sources
Design data models and implement data quality, validation, and monitoring processes
Investigate data discrepancies, troubleshoot pipelines, and continuously improve data reliability and performance
требования
6+ Years of hands-on Data Engineering experience
Strong Python and SQL skills
Production experience with ETL/ELT, data integration, and data modeling
Hands-on experience cleaning and mapping incomplete, inconsistent, or duplicated data from multiple sources
Experience matching records without a reliable common ID, using composite keys, rule-based or fuzzy matching, entity resolution, or similar approaches
Production experience with modern data technologies such as Airflow, dbt, Spark, Kafka, ClickHouse, Snowflake, Databricks, or similar
Strong understanding of data quality and DWH/data platform principles
условия
Freedom to develop and grow professionally
Clear career and professional path and a strong performance management system