Our organization is launching a strategic initiative to migrate its data infrastructure from an on-premise Oracle Database environment to Google Cloud Platform (GCP). The project involves consolidating legacy data warehouses, re-architecting ETL/ELT pipelines, and adopting cloud-native services such as BigQuery, Cloud Storage, and Dataflow.
The selected Data Analyst will be a key contributor across every phase of the migration lifecycle: from as-is data analysis of source systems, through post-migration validation, to supporting business teams in their transition to new cloud-based analytics tools.
Key Responsibilities
Data Analysis & Mapping
* Inventory and document Oracle source data (schemas, tables, stored procedures, views)
* Perform data profiling to identify anomalies, duplicates, and inconsistencies
* Define logical data mappings from Oracle to BigQuery for each data domain
* Collaborate with data engineers on the definition of transformation rules
Validation & Quality Assurance
* Design and implement data reconciliation tests for pre- and post-migration phases
* Develop SQL / BigQuery SQL queries to compare source and target datasets
* Produce data quality reports covering completeness, accuracy, and consistency metrics
* Log and track data anomalies using issue-tracking tools
Migration Support
* Actively participate in sprint planning and stand-ups with technical and business teams
* Support the migration of legacy reports into GCP-native tools (Looker, Looker Studio)
* Contribute to the definition of data governance standards and cloud best practices
* Document data transformation processes for knowledge transfer purposes
Personal Profile & Soft Skills
* Strong analytical mindset and attention to detail
* Ability to communicate complex data findings to non-technical stakeholders
* Operational autonomy and a proactive approach to problem-solving
* Good time management in multi-task and project-driven environments
* Team player: comfortable working in cross-functional IT/Business teams
* Flexibility and adaptability in contexts of technological change
* Proficient English (written and spoken, minimum B2 level)
Education
* Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
* Specialization courses in data engineering, cloud computing, or analytics are a plus
#J-18808-Ljbffr