Job Summary

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.

Responsibilities

- 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.

Qualifications

- Bachelors degree in any discipline / Information Systems,



or a related field.
- 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.
- Solid analytical, problem-solving, and communication skills.

Skills

- SQL
- Data Validation
- Data Quality Testing
- ETL/ELT Testing
- Data Profiling
- Data Reconciliation
- Power BI
- Python
- Databricks / PySpark

Job Type

Full time

Experience

1 - 3 years

Location

Uttar Pradesh, India

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Quality Engineer (Noida)
🏢 Scaleupally
📍 Noida