Data Engineer, GCP, Mid-level

Leega

full-time

Posted on: 1/15/2026

Location Type: Remote

Location: Brazil

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About the role

Organization and Structuring of Data Repositories
Perform data modeling, analyzing and structuring datasets to ensure proper relationships and adherence to market best practices
Handle special data cases by creating and managing equivalence/mapping tables, including specific cases such as “verticals,” aiming for greater standardization and efficiency
Development of Data Pipelines and Flows
Build pipelines that ensure full traceability, from client file delivery through to loading into the Gold layer on Google Cloud Platform (GCP)
Identify opportunities for source-side automation to reduce dependence on manual files and increase efficiency
Migration and Optimization of Databases
Propose and implement efficient migration strategies, such as incremental loads, avoiding high costs associated with daily full loads
Familiarity with code documentation (desirable)
Experience with agile methodologies (desirable)
Skills in developing and optimizing APIs for data consumption (desirable)
Familiarity with developing monitoring and alerts for processes implemented on GCP (desirable)
Ability to communicate technical solutions in a simple and pragmatic way (soft skill)
Proactive in supporting the team (soft skill)

Experience with Google Cloud Platform (BigQuery, Cloud Storage, Cloud Composer)
Experience with Python in a data context (file reading, transformations, and data ingestion)
Knowledge of relational and non-relational databases
GCP certification (preferred)
Experience with low-code ETL tools (preferred)
Experience with PySpark (preferred)

Benefits

Tip: use these terms in your resume and cover letter to boost ATS matches.

data modelingdata structuringdata pipelinesdata flowsAPI developmentdatabase migrationdatabase optimizationPythonPySparkETL

communicationproactive support

GCP certification