Opens an external site
- Employment type
- Contract
- Experience level
- Lead · 10+ years
- Apply by
- Mar 13, 2027
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Associate
- Application method
- Direct apply is available
Job summary
Lead data analysis, profiling, and migration assessment for a large-scale transition from GCP BigQuery to Azure Databricks. Perform source-to-target mapping and collaborate with stakeholders to validate migration outcomes and data quality.
Job details
We are hiring for a Senior Data Analyst. This role focuses on data analysis and migration activities for a large-scale migration from GCP BigQuery to Azure Databricks. The ideal candidate will have strong cloud data migration experience across data discovery, mapping, reconciliation, and validation. What You Bring 12+ years of Data Analysis experience GCP BigQuery 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 BigQuery 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
What you’ll do
Lead data analysis, profiling, and migration assessment for a large-scale transition from GCP BigQuery to Azure Databricks. Perform source-to-target mapping and collaborate with stakeholders to validate migration outcomes and data quality.
Requirements
Requires over 12 years of data analysis experience with expertise in GCP BigQuery, Azure Databricks, and Spark/PySpark. Must have a strong background in data migration, reconciliation, and governance within cloud environments.
Listed skills
- SQL · Preferred
- Data analysis · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- GCP BigQuery
- Azure Databricks
- Apache Airflow
- Cloud Composer
- Spark
- PySpark
- SQL
- Data Migration
- Data Reconciliation
- Data Profiling
- Data Mapping
- Data Lineage
- Data Governance
- Data Analysis
- User Acceptance Testing
- Source-to-Target Mapping
Job areas
- Data & Analytics
- Technology
- Consulting
- Software
- Engineering
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