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 Advantages and Additional Information ●

Working hours
10:00 AM – 7:00 PM ● Working days: 5 days a week (plus 1st & 3rd Saturdays working) ● Quarterly parties and yearly outings/trips for team bonding ● Regular check-ins with leadership for growth and feedback ● Recognition awards to celebrate high performance ● Fun activities and team engagement sessions throughout the year Work

Location:
In person

📌 Data Quality Engineer (Noida)
🏢 Scaleupally
📍 Noida