(Summary generated by AI based on the full job description)
The project focuses on cybersecurity risk quantification, building intelligent pipelines that turn data into measurable risk reduction. Technologies include Azure Data Factory, Azure Databricks, Synapse Analytics, Azure Data Lake, S3 and supporting tools: Python, Spark, SQL, Kusto, Azure DevOps, Git, CI/CD. Responsibilities cover designing, implementing and maintaining data flows and ETL, ensuring data quality, security and compliance, implementing governance controls (lineage, metadata, quality rules, access, retention) and providing technical support to stakeholders while working with models in a regulated environment.

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