This role focuses on data analysis and migration activities for a large-scale migration from GCP Big
Query to Azure Databricks .
The ideal candidate will have solid cloud data migration experience across data discovery, mapping, reconciliation, and validation.
What you bring 12+ years of Data Analysis experience GCP Big
Query experience Apache Airflow / Cloud Composer experience Azure Databricks experience Spark / PySpark experience Data Migration and Data Reconciliation experience SQL and Data Analysis experience Data Profiling and Data Mapping experience Data Lineage and Data Governance experience Experience supporting large-scale cloud data migration programs What you''ll do Lead data analysis, profiling, discovery, and migration assessment activities Perform source-to-target mapping for Big
Query datasets, pipelines, and reporting assets Analyze Airflow / Cloud Composer workflows and downstream dependencies Define migration, reconciliation, and data quality requirements Collaborate with Business SMEs, Architects, and Engineering teams to validate migration outcomes Support User Acceptance Testing, defect analysis, data validation, and migration sign-off Create data lineage, business rules, data dictionaries, and governance documentation Nice to have Experience with Enterprise Data Lake / Lakehouse architectures Familiarity with data governance frameworks Knowledge of data visualization tools
📌 Senior Data Analyst (Toronto)
🏢 J M Group
📍 Toronto
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