Enterprise data warehouse and real-time analytics platform on Azure
Fragma Data Systems operates a big-data analytics stack centered on Azure (Synapse, Data Lake, HDInsight, Cosmos DB) paired with Spark, Kafka, and BI tooling. Current project focus on cloud migration and data pipeline operationalization signals a shift from on-premises infrastructure toward managed cloud services; hiring is minimal and concentrated in mid-level data engineering roles, reflecting maintenance-mode scaling rather than product expansion.
Fragma Data Systems is a data analytics and infrastructure company serving mid-market and enterprise clients across multiple industries from offices in Dubai and Bangalore. The company builds end-to-end solutions spanning data ingestion, warehouse architecture, real-time processing, and visualization dashboards. Core offerings include cloud data warehouse migration, in-memory caching systems, NoSQL and streaming platforms, and machine-learning pipelines. Their customer base typically faces challenges around managing data sprawl across structured and unstructured sources, and Fragma addresses this with infrastructure design, pipeline orchestration, and analytics enablement.
Primarily Azure (Synapse, Data Lake, HDInsight, Cosmos DB, Event Hubs), Apache Spark, PySpark, Kafka, Java/Spring, SQL, Databricks, and Power BI for visualization and analytics.
Operationalizing large-scale enterprise data solutions, migrating on-premises data warehouses to Azure, designing ingestion and transformation functions, and building microservice-oriented applications.
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