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Big Data Tester Jobs

Multimodality Technologist - Big Sky
By Bozeman Deaconess Hospital At , Big Sky, 59716, Mt
American Registry of Radiologic Technologists (ARRT) certification – CT & MRI
2 years of radiology experience in accredited school
Preferred: 2 years post graduate experience CT or MRI
Strong emotional intelligence, interpersonal and teamwork skills
Preferred: Associates or Bachelor’s degree in health care related studies
Assists medical staff in other departments during exams and procedures. Including splinting/reductions, IV starts, and immobilizing/mobilizing trauma patients.

Are you looking for an exciting opportunity to join a team of Big Data professionals? We are looking for a Big Data Tester to join our team and help us ensure the quality of our Big Data solutions. You will be responsible for developing and executing test plans, analyzing test results, and providing feedback to the development team. If you have a passion for Big Data and want to be part of a dynamic and innovative team, this is the job for you!

A Big Data Tester is responsible for testing the accuracy and quality of data stored in a Big Data system. They must have a strong understanding of the data structures and algorithms used in Big Data systems.

What is Big Data Tester Skills Required?

• Knowledge of Big Data technologies such as Hadoop, Spark, NoSQL, etc.
• Familiarity with scripting languages such as Python, Java, etc.
• Ability to write complex SQL queries.
• Knowledge of data warehousing and ETL processes.
• Familiarity with data analysis and visualization tools.
• Knowledge of software testing methodologies.
• Excellent problem-solving and analytical skills.

What is Big Data Tester Qualifications?

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Experience with Big Data technologies and software testing.
• Knowledge of software development life cycle.
• Ability to work independently and as part of a team.

What is Big Data Tester Knowledge?

• Knowledge of Big Data technologies such as Hadoop, Spark, NoSQL, etc.
• Familiarity with scripting languages such as Python, Java, etc.
• Ability to write complex SQL queries.
• Knowledge of data warehousing and ETL processes.