Description:
As an SDET II, you will make a significant contribution in testing and automating data-driven solutions across multiple platforms. Your challenge will be reducing the “time to market” for products without compromising quality — by leveraging strong SQL expertise, Python automation, and data analytics to ensure accuracy, reliability, and performance across complex data pipelines and integrations.
You will work with a wide range of technologies including Snowflake, Tableau and Power BI and modern BI/ETL tools — and have the opportunity to interact with different internal teams to drive innovation and efficiency in test automation.
What’s In It For You
- Work with a team of highly skilled, ambitious, and result-oriented professionals.
- Gain hands-on experience with automation tools (Copado preferred) and modern data platforms like Snowflake, Tableau, or Power BI.
- A great opportunity to think and execute like a developer while performing the role of a QA engineer.
- Exposure to data testing, data validation, and continuous delivery practices.
- An organization that values innovation, ownership, and continuous learning.
- A fulfilling career with a global financial technology company.
Responsibilities
- Develop robust automation scripts using Python and relevant frameworks to validate data, APIs, and application flows.
- Write and optimize complex SQL queries for data validation, comparison, and analytics across multiple systems (Snowflake, SQL Server & other systems).
- Implement Copado or other automation tools to streamline deployment and testing processes.
- Design and develop test plans, test cases, and maintain automated regression suites across data platforms.
- Leverage data analytics tools and scripting to detect data inconsistencies and ensure data quality across systems.
- Work closely with developers, data engineers, and business analysts to deliver high-quality releases on time.
- Participate actively in Agile ceremonies, including sprint planning, daily standups, and retrospectives.
- Capture and analyse QA metrics to identify trends and opportunities for improvement.
- Contribute to the overall QA strategy and best practices for automation, data testing, and continuous integration.
What We’re Looking For
- 4+ years of experience in QA or SDET roles, with strong SQL and Python hands-on experience.
- Proven expertise in writing and tuning complex SQL queries (SQL Server or Oracle).
- Experience with data analytics and validation — familiarity with Snowflake, Tableau, or Power BI is a strong plus.
- Prior experience in test automation using tools like Copado, Selenium, or similar.
- Strong understanding of test strategy, automation frameworks, and data-driven testing.
- Excellent problem-solving, analytical, and debugging skills.
- Team-oriented with a proactive attitude and ability to communicate clearly with technical and non-technical stakeholders.
- Bachelor’s degree in Computer Science, Software Engineering, or related field.
Preferred Qualifications
- Education in a computer science field with minimum of a bachelors degree
- Experience with data visualization tools (Tableau, Power BI).
- Experience with cloud data platforms like Snowflake.
- Familiarity with CI/CD pipelines and DevOps best practices.
- Exposure to Salesforce Metadata API and Release Management is a plus.
- Strong critical thinking, attention to detail, and desire to learn continuously.