Big Data Jobs
By Tata Consultancy Services At Malvern, PA, United States
Min 6 yrs hands on experience in Spark, Python, Scala, Hadoop, Java
Must have hands on experience in AWS ETL Glue, Lambda, DynamoDB
Must have hands on experience in PySpark on Jupyter notebook
Must have experience in CI/CD, AWS S3, AWS EC2, AWS IAM, AWS Data Lake, SQL, Hive, Shell Scripting
Participating in requirement analysis and planning the development
Building and managing public and private cloud infrastructure with AWS, EC2 and S3 resources

Are you looking for an exciting opportunity to use your Big Data QA skills to help shape the future of data-driven products? Join our team and help us ensure that our products are of the highest quality and meet the needs of our customers. With your expertise, you will be responsible for testing and validating the accuracy of our data-driven products, ensuring that they are reliable and secure. If you are passionate about Big Data QA and want to make a difference, this is the job for you!

A Big Data QA is responsible for ensuring the quality of data-driven products and services. They are responsible for designing, developing, and executing tests to ensure the accuracy and reliability of data-driven products and services.

What is Big Data QA Skills Required?

• Knowledge of software quality assurance best practices and methodologies
• Knowledge of data analysis and data management
• Knowledge of scripting languages such as Python, Java, and SQL
• Ability to troubleshoot and debug data-related issues
• Ability to work independently and collaboratively
• Excellent communication and problem-solving skills

What is Big Data QA Qualifications?

• Bachelor’s degree in Computer Science, Information Technology, or related field
• Experience with software quality assurance and testing
• Experience with data analysis and data management
• Experience with scripting languages such as Python, Java, and SQL

What is Big Data QA Knowledge?

• Knowledge of software quality assurance best practices and methodologies
• Knowledge of data analysis and data management
• Knowledge of scripting languages such as Python, Java, and SQL
• Knowledge of software development life cycle

What is Big Data QA Experience?

• Experience with software quality assurance and testing
• Experience with data analysis and data management
• Experience with scripting languages such as Python, Java, and SQL
• Experience with software development life cycle

What is Big Data QA Responsibilities?

• Design, develop, and execute tests to ensure the accuracy and reliability of data-driven products and services
• Troubleshoot and debug data-related issues
• Analyze test results and provide feedback to developers
• Monitor and report on quality metrics
• Collaborate with developers and other stakeholders to ensure quality standards are met
• Document and report on test results and defects