Artificial Intelligence/Machine Learning Engineer

Responsibilities:

• Design and deploy ML-based anomaly detection pipelines layered on the Landing Zone to CDR ETL process, providing early-cycle flagging of data discrepancies.
• Build AI-assisted field mapping and classification tooling to accelerate source-to-target schema mapping across CDR cycles.
• Develop automated data quality scoring pipelines producing per-table and per-CDR-cycle quality metrics.

Requirements:

• 6+ years of applied AI/ML pipeline development and deployment for large-scale data reconciliation programs.
• 6+ years of Azure data platform engineering including Azure Databricks, Azure Data Factory, and Delta Lake.
• 10+ years of advanced T-SQL and PL/SQL development across SQL Server and Oracle.

Preferred Skills:

• 4+ years of continuous data quality enforcement using Great Expectations and parameterized pytest suites.
• 3+ years of legacy system data migration experience involving COBOL or mainframe source environments.
• 3+ years of Azure Purview data lineage and metadata management.