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

● Bachelor's 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.
  

Requirements

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.
  

Benefits