Data Quality Engineer

Functional Skills are essential skills that help individuals perform tasks effectively in everyday life, work, and education.

Data Profiling

Data Cleansing

SQL and Database Management

Data Validation and Testing

Data Governance and Compliance

ETL Processes

Statistical Analysis

Data Quality Tools

Programming Languages (Python, R)

Data Visualization

Problem-Solving and Analytical Skills

Communication and Collaboration

Communication, teamwork, and critical thinking to ensure seamless project execution.

Technical Skills are specialized abilities and knowledge needed to perform specific tasks or functions.

Task

95%

Develop and implement data quality standards and procedures to ensure data accuracy and consistency.

92%

Perform data profiling and analysis to identify data quality issues and root causes.

90%

Design and execute data quality testing strategies to validate data integrity.

88%

Collaborate with data engineers and data scientists to resolve data quality problems.

85%

Monitor data quality metrics and create dashboards to track data quality performance.

82%

Implement data cleansing and data transformation processes to improve data quality.

80%

Document data quality rules, processes, and procedures for future reference.

78%

Participate in data governance initiatives to ensure data quality is addressed across the organization.

75%

Provide training and support to data users on data quality best practices.

72%

Evaluate and recommend data quality tools and technologies to enhance data quality management.

Work Activities

Detailed Work Profile

Interests