Senior Big Data Test Development Engineer
7 days ago
Key Responsibilities
Responsible for testing and quality assurance of big data and data-related products. Participate in the development of big data testing frameworks or testing tools, and contribute to the construction of continuous integration platforms and automation development. Validate data quality, consistency, and accuracy across data pipelines. Analyze test results and provide detailed reports on software quality and test coverage. Monitor and validate data workflows and pipelines. Continuously improve testing processes and methodologies to enhance efficiency and effectiveness. Ensure data integrity and accuracy across various data sources and platforms. Work closely with data engineers to improve data quality.
Desired Qualifications
Bachelor's degree in Computer Science, Information Technology, or a related field. 2+ years of experience in software testing. Proficiency in programming languages such as Python or Java, experience with SQL and data querying for data validation. Familiarity with test automation tools and frameworks. Knowledge of version control systems (, Git) and experience with CI/CD tools. Strong communication and interpersonal skills. Ability to work independently and collaboratively in a team environment. Attention to detail and a commitment to quality.
Preferred Skills
Experience with big data platforms (Hadoop, Spark, Hive, HBase). Knowledge of ETL processes and data warehousing concepts. Experience with performance testing tools (JMeter). AWS/Azure/GCP cloud platform experience. ISTQB certification or equivalent. Why Join Us - Work with cutting-edge big data technologies and tools.- Collaborative and innovative work environment.- Professional growth and learning opportunities.- Regular team events and knowledge sharing sessions.-
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