Leega
API âą Artificial Intelligence âą Cloud Solutions
Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.
201 - 500 employees
Founded 2010
đ API
đ€ Artificial Intelligence
Mid-level Data Engineer, MCP, dbt
Job not on LinkedIn
October 24
đŁïžđ§đ·đ”đč Portuguese Required
Leega
API âą Artificial Intelligence âą Cloud Solutions
Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.
201 - 500 employees
Founded 2010
đ API
đ€ Artificial Intelligence
đ Description
âą Support data ingestion and modeling, preparing information for MCP agents and building insight dashboards for stakeholders. âą Ingest and transform data in Pub/Sub, Dataflow (Python) and BigQuery. âą Prepare datasets for AI (cleaning, labeling, vectorization). âą Create analytical queries and models in BigQuery via dbt (modeling, macros, documentation, tests). âą Develop dashboards in Looker Studio or Power BI. âą Assist the Senior Data Engineer with metrics and data governance.
đŻ Requirements
âą Experience with BigQuery, Pub/Sub, Dataflow (Python). âą Strong knowledge of dbt (modeling, macros, documentation, tests). âą Intermediate/advanced SQL. âą Experience with data pipelines for AI. âą Knowledge of MCP (events and data integration).
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đĄ Mid-level
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