Define, build, and mature data pipelines, models, and warehouse for global threat patterns and street-level intelligence.
•Base Operations is building the world’s largest dataset of global threat patterns and street-level intelligence.
•We are looking for an exceptional data engineer to define, build, and mature the data pipelines, models, and warehouse.
•Key Responsibilities Build, test, and maintain robust ETL pipelines for structured and unstructured data sources.
•Develop data transformation, validation, and quality monitoring processes.
•Design and implement data warehouse solutions and data models.
•Establish data quality frameworks with monitoring, alerting, and remediation processes.
•Contribute to overall data architecture decisions and lead implementation of data platform improvements.
•Requirements 3+ years experience building production data pipelines and working with modern data stack tools. 3+ years implementing and maintaining data warehouses and dimensional data models.
•Strong SQL skills and experience with data modeling best practices.
•Proficiency in Python for data engineering tasks.
•Experience with workflow orchestration and automation tools.
•Experience implementing data quality and governance practices.
•Strong collaboration skills working with data scientists, analysts, and engineering teams.