... knowledge of the end-end data lifecycle, data management capabilities including metadata, data quality, master and reference data management. Technical data skills Advanced skills in data analysts & data mapping. Advanced skills in Excel ( ...
... external custodians, service providers and data marketplaces. The Alpha Data Service delivers mission-critical data ‘as a service’ by deploying ... , Eagle Pace, etc. Knowledge of data vendor’s (e.g. Bloomberg, IDC, ...
... external custodians, service providers, and data marketplaces. The Alpha Data Service delivers mission-critical data ‘as a service’ by deploying ... , Eagle Pace, etc. Knowledge of data vendors (e.g., Bloomberg, IDC, ...
... external custodians, service providers and data marketplaces. The Alpha Data Service delivers mission-critical data ‘as a service’ by deploying ... , Eagle Pace, etc. Knowledge of data vendor’s (e.g. Bloomberg, IDC, ...
... , Delivery Manager, Enterprise Architect and software engineers) on the project goals. Continuous Improvement: Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure ...
... leadership to a team of data engineers. Establish best practices for data engineering, data quality, and DevOps engineering workflows. ... product requirements into a working software product Collaborate closely with vendor ...
... field Experience using the following software tools: Significant experience within the MS Azure cloud environment. Certification to AZ900 as a minimum but preferably DP-200 & DP201 Proven experience as a data engineer, preferably using Azure services ...
... field * Experience using the following software tools: * Significant experience within the MS Azure cloud environment. Certification to AZ900 as a minimum but preferably DP-200 & DP201 * Proven experience as a data engineer, preferably using Azure services ...
... that matters: As a Senior Data engineer with expertise in software development programming and a passion for building data-driven solutions, you’re ahead of ...
... users, fraud risk managers, and data engineers to meet data requirements and optimize high-volume fraud data pipelines. Data Governance & Quality: Align models with data governance policies, ensuring quality, accuracy, ...