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Database Quality Assurance Lead - Automation Testing

Poorecruiter
Anywhere in India/Multiple Locations
6 - 11 Years

Posted on: 25/07/2025

Job Description

Title : Database QA Lead

Location : Permanent remote

Working Hours : 3 pm to 12 midnight IST


Role Overview :


We are seeking a Database QA Lead with strong expertise in SQL, data analysis, quality assurance, and hands-on experience with cloud platforms, especially AWS. This role combines deep QA skills with a strong analytical mindset to ensure data integrity and accuracy across systems. Youll be responsible for leading QA initiatives on data-centric projects, validating data transformations, and collaborating across teams to deliver reliable, high-quality data systems.


Key Responsibilities :


- Lead QA strategy for database and data pipeline projects, ensuring high standards for data quality, reliability, and performance.

- Write and execute complex SQL queries to validate data accuracy, data integrity, completeness, and transformations.

- Perform exploratory data analysis to identify anomalies, trends, or potential data quality issues.

- Collaborate with data engineers, analysts, and stakeholders to understand data workflows, business rules, and validation criteria.

- Design and implement comprehensive test plans for structured and unstructured datasets.

- Develop automated test scripts and frameworks to support regression testing and data validation.

- Utilize AWS services (e.g., Redshift, RDS, S3, Glue, Athena) for QA tasks across cloud data infrastructure.

- Create detailed QA documentation, test cases, and reports.

- Mentor junior QA team members and promote data quality best practices across projects.


Required Qualifications :


- 6+ years of experience in Quality Assurance or Data QA, with at least 2 years in a lead role.


- Proven ability to perform advanced SQL querying and data analysis (joins, aggregations, CTEs, performance tuning).

- Experience testing data-intensive applications, data lakes, data warehouses, or ETL/ELT pipelines.

- Proficiency with AWS cloud services (especially Redshift, RDS, S3, Glue, Athena, Lambda).

- Familiarity with data profiling and validation tools.

- Strong understanding of software QA methodologies, tools, and processes.

- Excellent communication skills and ability to collaborate across technical and non-technical teams.


Preferred Qualifications :


- Experience with BI/reporting platforms (e.g., Tableau, Power BI, or Looker).

Location : Remote


About Neutrino Advisory :


- Exposure to QA automation tools and frameworks (e.g., PyTest, dbt tests, Postman, or custom SQL-based test automation).

- Knowledge of CI/CD pipelines and DevOps practices for QA.


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