ETL Data Quality Expert
23 hours ago
**Job Opportunity:** ETL Data Tester
**About the Role:
- Duration: 6 months
- Location: Remote
- Timings: Full Time (As per company timings)
- Notice Period: Immediate Joiner Preferred
- Experience: 5+ Years
Join us at GAIUS HYPERLOCAL PRIVATE LIMITED as an ETL Data Tester and take advantage of our exciting work-from-home opportunity.
This role involves selecting and integrating data tools and frameworks to provide requested capabilities, providing technical guidance to software engineers, and collaborating with cross-functional teams to develop QA tests.
With your expertise in data testing tools, Python, and SQL, you will play a crucial role in ensuring data quality and integrity.
As an ETL Data Tester, you will have the opportunity to work with a talented team of professionals, develop your skills, and grow with our organization.
The estimated salary range for this position is ₹800,000 - ₹1,200,000 per annum.
**Key Responsibilities:- Select and integrate data tools and frameworks to provide requested capabilities.
- Provide technical guidance to software engineers in designing, coding, reviewing, and testing enterprise software.
- Collaborate with Data Scientists, Data Engineers, and Software Engineers to develop QA tests to validate data and models.
- Implement ETL processes.
- Monitor performance and recommend infrastructure changes as needed.
- Define data retention policies.
- Collaborate with the recruitment team for hiring.
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.
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