Data Quality Engineer

Job Title: Data Quality Engineer

Purpose of Job

ScaleupAlly is looking for a Data Quality Engineer to ensure the accuracy consistency completeness and reliability of data across databases data pipelines dashboards and reporting systems. The role involves data validation quality testing ETL/ELT testing data reconciliation and identifying data discrepancies while working closely with Data Engineering QA and BI teams to maintain high-quality and reliable data.

Required Qualifications

Bachelors degree in any discipline / Information Systems or a related field.

Skills

SQL Data Validation Data Quality Testing ETL/ELT Testing Database Testing Data Profiling Data Reconciliation MS Excel Python Power BI Microsoft Fabric / Azure Data bricks / PySpark JIRA

Duties

• Perform data quality checks and validation using SQL.
  
• Validate data across source staging and target systems.
  
• Test ETL/ELT pipelines and data transformations.
  
• Identify duplicates missing data and inconsistencies.
  
• Perform data reconciliation and root-cause analysis.
  
• Validate Power BI reports and dashboards.
  
• Create and execute data quality test cases.
  
• Track and report data issues using JIRA.
  
• Collaborate with Data Engineering and QA teams to resolve data issues.
  

Required Qualification :

• 1-3 years of experience in Data Quality QA Data Testing or Data Analytics.
  
• Strong knowledge of SQL data validation and database testing.
  
• Experience with ETL/ELT testing and data reconciliation.
  
• Basic knowledge of Python and Power BI.
  
• Exposure to Microsoft Fabric Azure Data Factory or Databricks is preferred.
  
• Strong analytical problem-solving and communication skills.