Big Data Tester-Automation

Technical Skills:

• Proficient in SQL and Linux with hands-on experience.
• Strong understanding of Hadoop ecosystem and job scheduling tools like Airflow      and Oozie.
• Skilled in writing and executing SQL queries for comprehensive data validation.
• Familiarity with test automation frameworks (e.g., Robot Framework), with automation      skills as an asset.
• 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:

• 2-5 years of experience in Big Data testing, focusing on both automated and      manual testing for data validation and UI testing.
• Proven experience in testing Spark job performance, security, and integration      across diverse systems.
• Hands-on experience with defect tracking tools such as JIRA or Bugzilla.