Overview:
We’re looking for a Senior QA Engineer with a strong background in ETL, backend data validation, and automation testing. This role is all about ensuring the quality of data pipelines, APIs, and reporting systems while helping to implement automated testing frameworks. You’ll be working with complex financial datasets, ensuring smooth and accurate data movement across various systems. If you’re detail-oriented, analytical, and driven to solve problems efficiently, this role is for you.
Key Responsibilities
- Test ETL/ELT processes, APIs, and data pipelines to ensure data accuracy and integrity.
- Develop and maintain automated and manual test cases for backend systems and reporting tools.
- Collaborate with teams to identify, document, and resolve issues.
- Write and optimize SQL queries for advanced testing scenarios.
- Introduce and follow best practices for continuous integration and delivery (CI/CD).
- Implement strategies to monitor and maintain data integrity over time.
- Ensure deliverables meet functional, design, and business requirements.
- Identify and mitigate QA risks proactively.
- Perform backend testing across multiple environments, focusing on database and API validation.
- Validate dashboards and reports (e.g., Looker Studio, BigQuery).
Required Skills & Experience:
- 3+ years of experience in QA for ETL, data pipelines, and backend systems.
- Proficiency with ETL tools (e.g., Informatica, SSIS, Talend).
- Advanced SQL skills, with the ability to write and optimize complex queries.
- Experience with API testing (SOAP/REST) and large datasets.
- Strong communication skills and a team-oriented mindset.
- A self-starter with a passion for delivering high-quality results.
- Proven ability to handle complex data systems and ensure data quality.
Nice To Have
- Familiarity with cloud platforms (AWS, Snowflake) and RDBMS like SQL Server, PostgreSQL, or Redshift.
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Last updated on Dec 11, 2024