Data Quality Engineer - Remote

Overview

BlackStone eIT is looking for a skilled and detail-oriented Data Quality Engineer to join our team. As a Data Quality Engineer, you will play a key role in ensuring the accuracy, completeness, and reliability of our data.

In Short

• Collaborate with cross-functional teams to define and implement data quality standards and guidelines.
• Develop and execute data quality tests, measures, and validation processes.
• Identify data quality issues and work with relevant teams to drive their resolution.
• Design and implement data quality monitoring and reporting mechanisms.
• Create and maintain data quality documentation, including data dictionaries and data quality rules.
• Perform data profiling and analysis to identify data quality issues and patterns.
• Collaborate with data governance teams to ensure adherence to data quality standards and policies.
• Provide guidance and support to data stakeholders on data quality best practices and procedures.
• Stay up-to-date with emerging trends and technologies in data quality management and data governance.

Requirements

• Strong understanding of data quality principles.
• Excellent problem-solving skills.
• Experience in data profiling and analysis.
• Ability to collaborate with cross-functional teams.
• Familiarity with data governance practices.
• Strong communication skills.
• Detail-oriented mindset.
• Passion for maintaining high-quality data.

Benefits

• Opportunity to work with a dynamic team.
• Engagement in innovative data quality projects.
• Professional development opportunities.
• Flexible working environment.
• Competitive salary and benefits.