Database QA Automation Tester-Snowflake/DBT/Oracle

YO IT Group; Hyderabad; Vor Ort; INR 800.000 - 1.200.000; Vollzeit

Zusammenfassung

A technology services company in Hyderabad is seeking a Database QA Automation Tester with 3 to 5 years of experience in QA automation. This role involves designing automated tests for data quality validation and collaborating with data engineering teams. Ideal candidates should possess strong skills in QA practices, TestRail, Snowflake, and CI/CD tools.

Qualifikationen

• 3 to 5 years of experience in QA automation, focusing on data pipelines.
• Proven experience in leading small teams or mentoring junior engineers.

Aufgaben

• Build reusable automated tests for data validation across platforms.
• Ensure end-to-end data pipeline validation for ETL/ELT processes.
• Collaborate with data engineering teams to define test criteria.

Kenntnisse

QA practices for data platforms

Automated testing strategies

Analytical skills

Communication skills

Collaboration skills

Tools

TestRail

Snowflake

SQL

CI/CD tools

Jobbeschreibung

Database QA Automation Tester - Snowflake/DBT/Oracle

Base pay range

Experience

• 3 to 5 years of experience in QA automation, with a strong focus on testing data pipelines, ETL/ELT processes, and data quality validation across platforms such as Oracle, SQL Server, and Snowflake.
• Proven experience in leading small teams or mentoring junior engineers.

Technical Skills

• Strong expertise in QA practices for data platforms, including designing automated quality frameworks, validating data pipelines, and risk-based testing.
• Proficiency in automated testing strategies, TestRail for test management, Snowflake QA automation features, and scripting/CI/CD tools to maintain system accuracy and efficiency.
• Strong analytical and troubleshooting skills to quickly isolate defects and drive process improvements.
• Effective communication and collaboration skills to work closely with Product Owners, Delivery Coaches, Engineering, and business stakeholders.

Key Responsibilities

• Design and Develop Automated Data Quality Tests: Build reusable automated tests to validate data ingestion, transformations, and loading across Oracle, SQL Server, and Snowflake.
• Verify data integrity, completeness, schema conformity, and business logic through all layers from raw landing zone to curated data products.
• Ensure End-to-End Data Pipeline Validation: Automate testing for ETL/ELT processes, including data staging, cleansing, fact and dimension population, and final consumption layers.
• Monitor transformations and data flows across platforms (Oracle, Snowflake, SQL Server, Snowflake).
• Leverage Snowflake-Specific Testing Capabilities: Utilize Snowflake's native SQL features (e.g., streams, tasks, time travel, variant types) in test development.
• Automate regression and functional testing for Snowflake data models, stored procedures, and materialized views.
• Build and Maintain a Cross-Platform Test Framework: Extend or integrate automation frameworks compatible with Oracle, SQL Server, and Snowflake.
• Apply data validation tools to verify transformation accuracy.
• Utilize TestRail for Test Case Management: Design, document, and maintain test cases and test plans in TestRail; track execution, report defects, and ensure traceability across automated and manual test cases.
• Collaborate Across Data Engineering and Modeling Teams: Work with data engineers, modelers, and analysts to define test criteria for ingestion jobs, business logic, and reporting outputs; provide early feedback on development tickets and participate in code reviews.
• Support CI/CD and Test Automation in Production Pipelines: Integrate automated tests into CI/CD workflows and validate data integrity during production releases, schema updates, and migrations.
• Develop Monitoring and Alerting for Data Quality: Implement anomaly detection and alerting for critical pipelines and create dashboards or automated reports for monitoring data quality trends.
• Ensure Test Coverage, Reusability, and Documentation: Maintain reusable and version-controlled test suites across platforms and document test strategies, data quality standards, and platform-specific practices.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Quality Assurance

Industries

• IT Services and IT Consulting