Proficient in SQL and Linux with hands-on experience.
Good understanding of Hadoop ecosystem and job scheduling tools like Airflow and Oozie.
Skilled in writing and executing SQL queries for comprehensive data validation.
Basic programming knowledge in Python is a plus.
Experience with S3 buckets and cloud storage workflows is advantageous.
Soft Skills:
Strong analytical and problem-solving skills with a high attention to detail.
Excellent verbal and written communication abilities.
Ability to collaborate effectively in a fast-paced Agile/Scrum environment.
Adaptable and eager to learn new tools, technologies, and processes.
Experience:
0-4 years of experience in Big Data testing, focusing on both automated and manual testing for data validation and UI testing.
Experience in testing Spark job performance, security, and integration across diverse systems.
Hands-on experience with defect tracking tools such as JIRA or Bugzilla.
Job Classification
Industry: Telecom / ISPFunctional Area / Department: Engineering - Software & QARole Category: Quality Assurance and TestingRole: Data / Big Data Testing EngineerEmployement Type: Full time