Data Engineering
by Data Army · Data and analytics · Sydney, NSW, Australia
Cloud data engineering services to democratize data and create centralized, accessible information across organizations.
What Data Engineering does
- Data democratization in cloud
- Centralized information architecture
- Extract Load Transform processes
- Data integration across sources
- Serverless compute and storage
- Cost-optimized operations
What Data Engineering is used for
- Connecting disconnected systems
- Creating trusted data foundations
- Supporting analytics and AI workloads
- Improving data accessibility
About Data Army
Cloud data engineering, analytics, and production-ready AI solutions for financial services organisations.
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Also by Data Army
- Data engineering and migration: Modern data stack builds on Snowflake, dbt and AWS.
- AI solutions: Applied AI and analytics on governed data platforms.
- Advisory Services: Comprehensive architectural reviews and data strategy development for current data setups.
- Data Modelling & Analytics: Near real-time business insights and KPI tracking through data modelling and analytics.
- Data Products & Publishing: Trusted, quality data products that strengthen analytics, decision-making, and power modern AI and data initiatives.
- Embedded Data Workforce: Extended team of data experts embedded within client organizations to accelerate execution and scale capability.
More in this category: Data and analytics platforms for financial services.
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