ETL Data testing

ETL Data Testing: Select and integrate data tools and frameworks, provide technical guidance, collaborate with Data Scientists and Engineers, and implement ETL processes.

Requirements

• Experience creating detailed and comprehensive test suites using Python
• Proficiency in writing complex SQL queries for data extraction or validation
• Strong understanding of Big Data concepts and NoSQL databases (preferred)
• Expertise in writing Hive QL and Spark QL queries
• Hands-on experience with data testing tools like DBT, iCEDQ, QuerySurge, Denodo, Informatica, etc.
• Good understanding of QE testing types for data quality
• Experience in troubleshooting applications and managing the defect lifecycle
• Ability to test software and complete UAT in an Agile environment
• Expertise in continuous automation for increased test coverage and efficiency
• Proactive and reactive support in deployments and production environments
• Proficiency in Linux or Unix environments
• Strong debugging skills
• Ability to resolve cluster operating issues
• Experience integrating data from multiple sources
• Knowledge of BI tools like Power BI and Tableau (preferred)
• Experience with messaging systems like Kafka or RabbitMQ
• Strong analytical and excellent communication skills

Benefits

• Flexible attitude towards work, as per the needs
• Proactively identify & communicate issues and risks