About this role

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

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

Benefits 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