Product Manager, Big Bills
By Cedar At New York, NY, United States
4+ years of product management experience in a rapid-growth startup environment
Strong executive communication + project management skills with leadership teams
This role offers a competitive benefits and wellness package
Subject to experience, and education
Experience working with technical architects and an understanding of data models
Experience working directly with engineers and designers to ship customer-facing applications

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.