Data platform and API integration for enterprise modernization
Digiage builds data APIs and cloud analytics infrastructure for large Brazilian enterprises undergoing digital transformation. The tech stack is heavily weighted toward cloud data platforms (Azure Data Lake Storage, Databricks, AWS Glue, Redshift, Athena) with strong ML/data-science depth (PySpark, scikit-learn, RAG), and the hiring velocity is accelerating—all six open data roles suggest active project delivery scaling. Pain points cluster around legacy pipeline and report migration, indicating they're executing modernization projects for customers stuck on on-premise or fragmented data infrastructure.
Digiage is a technology and innovation company founded in 2013, headquartered in Campinas, São Paulo, with 51–200 employees. They specialize in strategic co-creation and operational excellence for large enterprises through API integration and data management. Their two active project streams—data migration and modernization, and strategic data and analytics—target companies moving legacy analytics workloads to cloud platforms. Revenue model is consulting and platform integration services, with a focus on reducing client costs and unlocking new revenue sources through better data utilization.
Digiage uses Azure (Data Lake Storage, Data Factory), Databricks, AWS (Glue, Redshift, Athena, Lambda, Kinesis), Apache Spark, PySpark, scikit-learn, Delta Lake, RAG, and Power BI for data engineering and analytics.
Their active engagements center on data migration and modernization, and strategic data and analytics projects—primarily moving legacy pipelines and reports to cloud platforms.
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