... policies and specifically around Master Data Management and Data Quality, Building data warehouses and data lakes using tools like Azure Data Factory, and insights into Data Science and Data Analytics use cases within the ...
... business requirements into data needs, defining data models and setting standards for data providers. Work within Data&AI squads, collaborating with data engineers, data analysts, and data scientists to leverage a ... as a Big Data Analyst and be a part ...
... includes designing and maintaining robust data models, integrating data sources, and building scalable ETL ... development , with proven expertise in data modeling, ETL processes, and reporting ...
... growth. Role Summary: As a Data Warehouse Architect , you will play a ... vital role in designing, implementing, and managing scalable data architectures to support business objectives. ...
... in a role related to data warehouses, databases, ETL ELT and or data visualisation Experience in testing applications ...
... remains at the forefront of data innovation. - Data Governance and Quality: Establish best practices for data quality and governance, ensuring data integrity across all stages of data processing. Required Skills: - Data Architecture Expertise: 6 years of ...
As a Senior Data Analytics Consultant you will be responsible for analyzing vast volumes of real-time data from diverse systems, including campaigns data, product analytics, user ... stakeholders in making data-driven decisions work with Marketing ...
... currently looking for a Salesforce Data Consultant to join our team. This role focuses on developing comprehensive data migration solutions from legacy systems into Salesforce, utilizing tools such as Talend for data integration and management. You will ...
... architecture using Azure Synapse Pipelines. Data Management: Oversee data ingestion processes, enforce data quality checks using tools like ... error-handling practices to maintain data processing integrity, leveraging tools like ...
... own the full lifecycle of data engineering deliverables. Deliver complex data flows to process external data sources to provide the company with a competitive edge. Act as a consultant to the business to meet ...