... to be client centric, data driven, and people focused. We ... + years of experience in data quality, data migration, and data management roles within CRM environments. ... deploy solutions that enhance data quality and migration outcomes. Communication & ...
... for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross ... -directed and comfortable supporting the data needs of multiple teams, systems ...
... shape the future of the data environment and build POCs to ... or full-time experience in data engineering, software development, or data science.Experience with public Cloud ...
... make use of the collected data (e.g., apply AI for pattern recognition) • Produce reports and charts communicating trends within data to non-specialists. • Support product teams for the ...
... and insights from their data. Were a dedicated Google Cloud ... : Design, build, and maintain data pipelines to support data ingestion, ETL, and storage Build and maintain automated data pipelines to monitor data quality and troubleshoot issues Implement ...
... and analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Design data integrations and data quality framework. Designs and evaluates ... in end - to - end data processing ( ETL ELT ). Advanced working ...
... , including project managers, IT specialists, and business stakeholders, to streamline workflows, improve data quality, and support strategic initiatives ... integration of workflows and data. Process Specialist: Expertise in analyzing and redesigning ...
... to understand the needs for data and create effective data pipelines Solution design, implement, and maintain data pipelines for data ingestion, processing, and transformation using ...
... to understand the needs for data and create effective data pipelines Solution design, implement, and maintain data pipelines for data ingestion, processing, and transformation using ...
... to understand the needs for data and create effective data pipelines Solution design, implement, and maintain data pipelines for data ingestion, processing, and transformation using ...