Are you well-versed in hands-on experience with testing in ETL and Data warehousing? And are you looking for your next opportunity? This opportunity will enhance your skills in ETL tools like DBT and Automation tools like Validator with a company closing the gap between healthcare and financial systems. This role will be heavy within a migration project so get ready for this awesome opportunity!
THE COMPANY
This world-class technology, information, and internet company is modernizing the business of healthcare through its platform. This company is committed to championing Data and AI through its platform. Does this excite you?
THE ROLE
Testing in ETL and Data warehouses such as Snowflake.
Hands-on with ETL tools like DBT.
Documenting QA efforts such as acceptance criteria, Source-target mapping, RTM, test plans, test cases, test results, bug reporting, etc.
Testing SQL reports, paginated reports, etc.
Working independently as a full QA resource and adaptability to work in multiple teams at the same time.
YOUR SKILLS AND EXPERIENCE
A successful Lead Data Engineer within this role will likely have the following skills and experience:
Bachelor's degree in Business Administration, Computer Science, Data Systems or Data Analysis preferred
Rich experience in functional, integration, end-to-end, regression, performance, and user acceptance testing (3+ Years).
Hands-on experience with testing in ETL and Data warehouse (Snowflake is preferred) (2+ Years).
Experience in automation tools like Validator.
Experience documenting QA efforts such as acceptance criteria, Source-target mapping, RTM, test plans, test cases, test results, bug reporting, etc.