Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline (or equivalent experience).
8+ years of Quality Assurance or Test Engineering experience, including experience leading QA initiatives.
Strong programming experience with Python and PySpark.
Hands on experience testing enterprise Big Data platforms including Hadoop, Hive, Impala, and Sqoop.
Strong experience validating relational databases using Oracle PL/SQL and SQL.
Experience working with enterprise workload schedulers such as Control M or similar scheduling platforms.
Strong Unix/Linux scripting skills.
Experience implementing QA automation within CI/CD pipelines using Jenkins and Git.
Understanding of DevOps methodologies and automated software delivery pipelines.
Experience working with container technologies such as Docker and OpenShift.
Strong analytical, troubleshooting, and problem solving skills, particularly involving complex data environments.
Excellent communication and collaboration skills with technical and business stakeholders.