... the wider Data team to create data standards and 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 ...
... , and Power BI, to analyze data and generate insights. Job Requirements: Education: Bachelor’s or Master’s degree in a relevant field (Computer Science, Data Science, Statistics, etc.). Experience: At ...
... Technology, Data Analytics, or a related field; a Master’s degree is a plus. Experience: ... Minimum of 5 years in business intelligence development , with proven expertise in data modeling, ETL processes ...
... 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 ...
... 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 ...
... to determine data quality and data integrity Rigorously test data infrastructure components to comply with ... an emphasis around data integrity and data quality Familiarity with data streaming and or event-driven data pipelines will be considered an ...
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 ...
... experience with Databricks Experience in data acquisition (API calls FTP downloads), ... API’s and access points for data) Experience building components for enterprise data platform (Data Warehouses, Operational Data Stores, Access layers with APIs, ...
... 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 ...