
High Salary Data-Centric Test Automation Lead
2 days ago
We are seeking a highly experienced Senior Test Automation Engineer to lead our test automation initiatives in data-centric environments.
- Key Responsibilities:
- Develop and implement robust test automation frameworks integrated with CI/CD pipelines to ensure seamless delivery of high-quality software products.
- Lead cross-functional teams in the design and implementation of automated testing strategies, leveraging expertise in Databricks, Apache Spark, and AWS services (S3, Glue, Athena, Lake Formation).
- Design and execute UI and visualization testing using Selenium with Python, ensuring accurate validation of tools like Tableau, Power BI, or custom dashboards.
- Collaborate closely with Agile teams to identify opportunities for process improvements and implement efficient test orchestration solutions utilizing Jenkins, GitHub Actions, or GitLab CI.
- Drive innovation through mentorship and leadership, fostering a culture of continuous learning and growth among QA engineers.
- Required Skills & Qualifications:
- Proven experience in leading test automation initiatives, with 6+ years of leadership experience and 7+ to 12 years of overall experience in Test Automation.
- Expertise in designing and implementing test automation frameworks, with hands-on experience with Databricks, Apache Spark, and AWS services.
- Proficiency in Python, PySpark, and SQL for writing validation scripts and automation logic, along with proficiency in GraphQL APIs and API testing tools.
- Strong understanding of CI/CD tools, including Jenkins, GitHub Actions, and GitLab CI, with ability to implement alerting and reporting for test failures, anomalies, and validation issues.
- Excellent collaboration and communication skills, with experience working closely with cross-functional teams in Agile settings.
- Preferred Skills:
- Experience working with agile Testing methodologies such as Scaled Agile, with familiarity with automated testing frameworks like Selenium, JUnit, TestNG, or PyTest.
- Familiarity with data governance tools, understanding of DataOps methodologies and practices, and contributions to internal quality dashboards or data observability systems.
- Awareness of metadata-driven testing approaches and lineage-based validations, with experience working with UI and visualization testing.
- Background in defining QA strategies and leading test automation initiatives in data-centric environments, with excellent leadership and mentorship skills.
- Strong background in technical collaboration and communication, with ability to work closely with cross-functional teams and drive innovation through mentorship and leadership.
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