Ensures the reliability and integrity of data collected, by developing and implementing data quality standards, applying procedures and following processes.
Verify and solve connectivity and data transfer issues
Identify and solve data quality issues
Analyze root causes
Define and improve data quality standards
Stablish and monitor data quality metrics and provide recommendations for improvement
Verify RMC systems and equipment functioning
Consolidate data bases from the different sources monitored from the RMC
Provide basic support on software issues
Generate Reports, KPI’s and metrics for internal and external purposes collaboration with remote teams
Skills Required
Machine Learning
Python
Find more jobs at Tenaris
Leading supplier of steel pipes and related services for the world’s energy industry