Data Integration
Data Integration is the capability combining data from different sources to provide unified, usable information. Central to data engineering, it enables effective analytics and insights. Mastery improves decision-making, optimizes operations, and fuels innovation.
Level 1: Emerging
At a foundational level you are able to identify and collect data from basic sources following set instructions. You use simple tools and techniques to combine data, with guidance, to support routine data engineering tasks. Your work helps lay the groundwork for more advanced data integration and ensures accurate input for the team’s analysis.
Level 2: Proficient
At a developing level you are able to support data integration tasks by following established processes and applying basic data engineering techniques. You combine data from a limited range of sources under supervision, paying attention to consistency and quality. Your work helps ensure that data can be used for simple reporting and analysis across teams.
Level 3: Advanced
At a proficient level you are able to reliably combine data from multiple sources using established tools and processes, ensuring the data you deliver is accurate, complete, and ready for analysis. You work independently on integration tasks across projects, spotting and resolving typical issues. Your work enables teams to access unified data, supporting better business insights and outcomes.
