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Senior Data Analyst
Job Description & How to Apply Below
We are seeking a Senior Data Analyst to play a pivotal role in a large-scale enterprise migration from GCP Big Query to Azure Databricks. This position will focus on data discovery, source-to-target mapping, data lineage analysis, migration planning, reconciliation, and business validation activities across various enterprise data domains. The successful candidate will be instrumental in migrating Big Query datasets, Airflow/Composer workloads, and analytics assets to an Azure Databricks Lakehouse platform.
Responsibilities- Lead data analysis, profiling, discovery, and migration assessment activities.
- Perform source-to-target mapping for Big Query datasets, pipelines, and reporting assets.
- Analyze Airflow/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 (UAT), defect analysis, data validation, and migration sign-off activities.
- Create data lineage, business rules, data dictionaries, and governance documentation.
- GCP Big Query
- Apache Airflow / Cloud Composer
- Spark / Py Spark
- SQL & Data Analysis
- Data Profiling & Data Mapping
- Experience with Enterprise Data Lake / Lakehouse architectures
- Familiarity with data governance frameworks
- Knowledge of data visualization tools
- 12+ years of Data Analysis experience
This role is critical to the success of our data migration initiative, and we are looking for a candidate w
Position Requirements
10+ Years
work experience
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