... (Azure, Power BI Premium, Fabric) Data modeling techniques Cloud native data architecture and analytics Process driven mindset & focus Facilitation & communication skills to work across all levels in the organization Deep technical ...
... stakeholders at all levels. • Project management skills with the ... -based architectures, enterprise-level applications, and integration technologies, such ... , etc. ). • Knowledge of Data Management, Integration and Data Quality tools spanning No-code, ...
... the SAP FI CO data models and technical structures. ABAP ... Improve management of data from strategy to execution, with the focus on data quality, data privacy, data volume and lifecycle, data integration, and master data management In fast pace changing ...
... . We are currently seeking a Data Engineer to work with one ... -changing environment, driven by big data and digital technologies that are ... plus Understanding of metadata management, data lineage, and data glossaries is a plus. Working ...
... . We are currently seeking a Data Engineer to work with one ... fastchanging environment driven by big data and digital technologies that are ... plus Understanding of metadata management data lineage and data glossaries is a plus. Working ...
... .As the Head of Data Insights, you will lead a talented team of data engineers, BI analysts, and subject ... manage a team of business data BI analysts, data SMEs, data services transition managers, and data engineers, providing guidance, mentoring, and ...
... (5+ years) working in data validation, data quality assurance, data analysis, or a similar role ... is a plus Experience with data validation tools and techniques, such as data profiling, data cleansing, and data reconciliation Strong analytical and problem- ...
... stakeholders to establish a high level of rapport and confidenceWork with clients and teams to deliver modern data productsYou are a very creative ... if youre just starting out. Data Alchemist: Comfortable with schema-on- ...
... ensuring adherence to an enterprise data governance framework for data policies, standards, and practices to achieve required level of data quality.This role will be ...
... functional stakeholders of varying technical levels Manage key datasets and improve their usability by creating database dictionaries and user documentation Improve existing data processing pipelines, automate recurrent operations ...