ETL Data Automation QA Engineer

This role focuses on ensuring the quality and reliability of data pipelines and automation processes. The successful candidate will be responsible for designing, developing, and executing test plans to validate ETL processes, data transformations, and automation scripts, contributing to the delivery of high-quality data solutions.

Key Responsibilities:

Develop and execute test plans and test cases for ETL processes and data automation scripts.
Identify, document, and track defects using appropriate bug tracking systems.
Collaborate with developers and data engineers to resolve issues and improve data quality.
Perform data validation and reconciliation to ensure data accuracy and integrity.
Automate testing processes to improve efficiency and reduce manual effort.
Participate in code reviews and provide feedback on data quality and testing practices.

Requirements/Qualifications:

Experience in ETL testing and data validation.
Strong understanding of data warehousing concepts and principles.
Proficiency in SQL and experience with relational databases.
Experience with data automation tools and frameworks.
Excellent analytical and problem-solving skills.
Ability to work independently and as part of a team.
Experience with quality assurance methodologies and best practices.
5 to 10 years of relevant experience.

About the Company: Indium Software is a technology services company specializing in providing solutions to businesses across various industries. They focus on helping clients leverage technology to achieve their business goals through innovative and reliable software solutions.