Overview

You will work on a platform focused on improving data accuracy, trust, and reliability across analytical and operational environments. The project includes implementing monitoring rules, building automated validation workflows, and supporting data teams with insights that help maintain data quality at scale. The platform is actively evolving and provides space for ownership and continuous improvement. Client: Our client is a leading global professional education organization focused on advancing investment knowledge and credentialing standards. Project Overview:

Responsibilities:
  • Design and implement data quality monitoring rules using Monte Carlo, Soda, Great Expectations or equivalent tools
  • Perform data profiling to assess completeness, consistency, and accuracy
  • Collaborate with data engineering and analytics teams to define data quality needs
  • Develop automated checks and alerts as part of data pipelines
  • Support remediation workflows and participate in root cause analysis
  • Document rules, processes, and metrics supporting data quality governance
  • Contribute to continuous improvement initiatives and propose enhancements
  • Communicate findings and recommendations to technical and non technical stakeholders
Required Qualifications:
  • Experience working with data quality tools such as Monte Carlo, Soda, or Great Expectations
  • Hands on background in data profiling, validation, and monitoring
  • Experience using SQL for analysis and data validation tasks
  • Familiarity with Python or similar scripting languages for automation
  • Understanding of data pipeline principles and cloud data platforms
  • Knowledge of data governance concepts and quality frameworks
  • Clear communication skills and the ability to collaborate in a distributed team
Note:

✨ Our intelligent job search engine discovered this job and republished it for your convenience.
Please be aware that the job information may be incorrect or incomplete. The job announcement remains the property of its original publisher. To view the original job and its full details, please visit the job's URL on the owner’s page.

Please clearly mention that you have heard of this job opportunity on https://ijob.am.