Data Quality Engineer

ScaleupAlly Noida, Uttar Pradesh, India

IT Services and IT Consulting · 51-200 employees

5 d ago

Mid (2-5 yrs) Full-time India

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About the role

The Data Quality Engineer will ensure data accuracy and reliability by performing validation, reconciliation, and ETL/ELT testing across pipelines and dashboards. They will collaborate with engineering and QA teams to identify discrepancies and track issues using JIRA.

What they look for

SQL Data validation Data quality testing ETL/ELT testing Database testing Data profiling Data reconciliation MS Excel Python Power BI Microsoft Fabric Azure Databricks PySpark JIRA

Requirements

Candidates must have a bachelor's degree and 1-3 years of experience in data quality, testing, or analytics. Strong proficiency in SQL and experience with data validation tools are essential requirements for the role.

Benefits

Quarterly parties Yearly outings Team bonding trips Regular leadership check-ins Recognition awards Team engagement sessions

Full description

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