Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling. As a [job title] at Endava[enter 2-3+ sentences here describing the core responsibilities and expectations of the role] Responsibilities:Work closely with the Data Analyst/Data Scientist to understand evolving needs and define the data processing flow or interactive reports.Discuss with the stakeholders from other teams to better understand how data flows are used within the existing environment.Propose solutions for the cloud-based architecture and deployment flow.Design and build processes, data transformation, and metadata to meet business requirements and platform needs.Design and propose solutions for the Relational and Dimensional Model based on platform capabilities.Develop, maintain, test, and evaluate big data solutions.Focus on production status and data quality of the data environment.Pioneer initiatives around data quality, integrity, and security.
