ETL Data Transformation Expert
19 hours ago
GAIUS HYPERLOCAL PRIVATE LIMITED is seeking a highly skilled ETL Data Tester to join our team. This is a 6-month contractual role that requires expertise in data testing, integration, and quality assurance.
Company Overview">We are a leading provider of work-as-a-service platform solutions, connecting skilled professionals with exciting contractual or project-based work opportunities offered by top companies. Our mission is to empower professionals by matching them with projects that align with their skills, interests, and experience.
We understand the challenges faced by independent professionals in finding meaningful work and managing administrative tasks. That's why we act as a dedicated HR office for our Experts, handling the entire onboarding process, providing continuous feedback, resolving conflicts, and ensuring seamless payroll management.
Job Description">We are looking for a talented professional who can work on various aspects of ETL data testing, including data tool selection, integration, and process implementation. The ideal candidate should have experience with Python, advanced SQL queries, Big Data concepts, NoSQL databases, and data testing tools such as DBT, iCEDQ, QuerySurge, Denodo, Informatica, etc.
The selected candidate will be responsible for providing technical guidance to software engineers, collaborating with Data Scientists, Data Engineers, and Software Engineers to develop QA tests, implementing ETL processes, monitoring performance, and recommending infrastructure changes as needed.
This role also involves defining data retention policies, collaborating with the recruitment team for hiring, and ensuring the overall quality of data.
Requirements">To be successful in this role, you should have:
- 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
We offer a competitive salary package, including benefits such as health insurance, paid time off, and opportunities for professional growth and development.
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