... -to-end architecture of our data pipeline solutions Taking the role of hands-on developer, tester, integration and deployment specialist on data pipelines Build, evangelize and improve data pipeline templates, that other colleagues ...
... plans for the development of data processes. * Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc. * Promote a ...
... days a week.: Data Delivery Leader Who Are We? The Data, Analytics, and AI Engineering team ( ... enable business-driven data planning across a 3-5 ... to market, efficiency, and quality. Provide strategic guidance for data, analytics, and AI in existing ...
... ML solutions, working closely with data scientists to transform data insights into predictive models and intelligent systems ensuring data quality, security, and governance Monitor, test, ...
... performance, and data warehouse design. Youll collaborate with engineering teams to ensure quality data in source systems and foster a culture of data excellence. We might be a ... to improve data quality and optimization. Employs superior ability ...
... will be working directly with Data Engineers, Data Scientists, cross functional teams across ... in terms of efficiency and quality, including filter and clean data defining KPI’s to identify problems at data base level. Collaborate with the ...
... optimizing performance of existing solutions; Data quality checks implementation; Designing, managing and ...
... its presence in a data-centric environment. Join us in ... tech stack and robust data-related projects. Enjoy a competitive ... project: As a Senior Data Engineer Analyst you’ll design and ... of professional experience in data-related role, software engineering or ...
... best-practice reports based on data mining, analysis, and visualisation Develop, ... of proven practical experience mining data data analysis as a data analyst Very good knowledge of ...
... automated services, and APIs; Ingest data sources into data management platforms; Structure data into a scalable and easily understood architecture; Data quality checks implementation; Managing and maintaining ...