Data Quality Engineer
Description
About the role
We are looking for a Data Quality Engineer to support data engineering initiatives by implementing data quality rules, performing source-to-target analysis, validating data, and providing technical delivery support. The ideal candidate can identify data issues, ensure data accuracy and consistency, and collaborate with the team in an Agile delivery environment.
Key responsibilities
Support data engineering activities to ensure reliable and high-quality data.
Implement data quality rules to assess data accuracy, completeness, consistency, and integrity.
Perform source-to-target analysis to understand data mapping and transformation requirements.
Conduct data validation to identify discrepancies, anomalies, and data quality issues.
Investigate data issues and coordinate with relevant teams to support resolution.
Provide technical delivery support throughout development, testing, and implementation activities.
Collaborate with cross-functional teams and participate in Agile delivery activities.
Document data quality findings, validation results, and technical issues.
About you
3 - 5 years of experience as Data Quality Engineer.
Experience or demonstrated capability in data engineering and data quality activities.
Knowledge of data mapping, source-to-target analysis, and data validation processes.
Ability to identify data discrepancies and support issue resolution.
Strong analytical, problem-solving, and communication skills.
Ability to collaborate with technical teams in an Agile delivery environment.