Conduct assessments of BI developments on AWS to prepare for migration to GCP.
Work directly on migrating, building, and evolving data pipelines using dbt (ELT).
Develop and maintain DAGs in Airflow for process orchestration.
Work with BigQuery to create, optimize, and maintain analytical tables.
Actively participate in migrating ETL processes from AWS to GCP.
Apply versioning best practices with GitLab, including merge flows and production deployments.
Ensure data quality, traceability, and reliability.
Work in a consultative manner, proposing improvements to data architecture and processes.
Interact with cross-functional teams (Data Engineering, Analytics, Business, and IT).

Solid experience in BI / Data Analytics projects.
Hands-on experience with GCP, especially BigQuery.
Experience with ELT in Google BigQuery using dbt (incremental models, macros, tests, documentation, and best practices).
Experience with data orchestration using Airflow.
Familiarity with GitLab (version control, merge requests, deployments).
Experience in analytical/dimensional data modeling.
Previous involvement in cloud migration projects (AWS → GCP).
Hands-on profile with the autonomy to operate in complex environments.

Preferred qualifications:

Experience with ELT on AWS Redshift using dbt (incremental models, macros, tests, documentation, and best practices).
Experience in data transformation and modernization projects.
Knowledge of visualization tools (Power BI, Looker, Metabase, etc.).
Experience with Data Governance (e.g., DataPlex).

Senior BI Analyst, Data Analytics – GCP & DBT

Key skills