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Open nowPosted 16 days ago

Data Quality Engineer

ScaleupAlly6 open roles

Where
Noida, Uttar Pradesh, India
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Your applicationOpen nowData Quality EngineerScaleupAlly · Noida, Uttar Pradesh, India

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The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.3%7 days
  4. 17.6%14 days
  5. 34.3%30 days
  6. 43.5%60 days
This job: posted 16 days ago

The posting

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 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

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