Experience: 14+ years, Python, SQL, ETL, test automation
Job Description & Details
"Data-driven testing is booming as companies rely on massive ETL pipelines to power analytics. This SDET Engineer role puts you at the heart of ensuring data quality and reliability. With a strong focus on Python and SQL, it\u2019s a prime chance to showcase your automation expertise.\n\n# Job Summary\nThe SDET Engineer will design, develop, and maintain automated test suites for data and ETL pipelines. You\u2019ll leverage Python scripting and SQL queries to validate data integrity, performance, and reliability across production workflows. The role is onsite, requires 14+ years of overall testing experience, and emphasizes strong Python automation, ETL knowledge, and data\u2011centric testing strategies.\n\n# Top 3 Critical Skills Table\n| Skill | Why it's critical | Mastery Level |\n|-------|-------------------|--------------|\n| Python for test automation | Drives fast, repeatable validation of ETL jobs and data pipelines | Senior |\n| SQL & ETL concepts | Enables deep data verification and troubleshooting of extraction/transform/load processes | Senior |\n| Automated testing frameworks | Provides scalable, maintainable test coverage across complex data workflows | Senior |\n\n# Interview Preparation\n1. **How do you design a Python\u2011based test framework for validating large ETL pipelines?**\n *What the interviewer is looking for:* Understanding of modular test architecture, use of fixtures, data generation, and integration with CI/CD.\n2. **Explain how you would use SQL to verify data integrity after an ETL load.**\n *What the interviewer is looking for:* Ability to write checksum, row\u2011count, and data\u2011quality queries; handling of nulls and data type mismatches.\n3. **What strategies do you employ to handle flaky tests in data\u2011heavy environments?**\n *What the interviewer is looking for:* Knowledge of retry logic, test isolation, mock data sources, and environment stability.\n4. **Describe a challenging bug you uncovered in an ETL pipeline and how you automated its detection.**\n *What the interviewer is looking for:* Problem\u2011solving skills, root\u2011cause analysis, and translation of manual checks into automated scripts.\n5. **How do you integrate test results from Python scripts into a CI/CD pipeline?**\n *What the interviewer is looking for:* Experience with tools like Jenkins, GitLab CI, or Azure DevOps, and reporting mechanisms (e.g., JUnit XML, Allure).\n\n# Resume Optimization\n- SDET Engineer\n- Python automation\n- SQL data validation\n- ETL pipeline testing\n- Test automation frameworks\n- Data quality assurance\n- Software testing\n- Scripting\n- Automated regression\n- Data validation\n\n# Application Strategy\nWhen emailing the recruiter, start with a courteous greeting, attach your updated resume, and clearly reference the SDET Engineer position. Make sure to highlight your top skills\u2014such as Python automation, SQL/ETL expertise, and test framework development\u2014along with any relevant projects that demonstrate these capabilities. Mention how your experience aligns with the key responsibilities outlined in the job description.\n\n# Career Roadmap\n| Current Role | Typical Experience | Core Focus | Next Position |\n|--------------|-------------------|------------|---------------|\n| SDET Engineer | 14+ years in test automation, Python, SQL, ETL | Data\u2011centric test automation, pipeline reliability | Senior SDET Engineer |\n| Senior SDET Engineer | 5\u20137 years leading test initiatives, mentoring junior staff | End\u2011to\u2011end test strategy, cross\u2011team collaboration | QA Automation Lead |\n| QA Automation Lead | 3\u20135 years managing QA teams, scaling frameworks | Organizational QA vision, stakeholder alignment | Director of QA / Quality Engineering |\n"