A key client of mine is seeking a highly skilled and experienced Data QA Engineer to join their team. In this role, you will be responsible for performing data quality analysis and validation, writing test plans, test cases, and test scripts, and validating solutions built on REST APIs, Snowflake, and data pipelines. The successful candidate will be able to demonstrate a deep conceptual understanding of data analytics architectural approaches and data models (Data Vault experience is a plus).
This role is Hybrid in either one of three locations
Miami, Florida, Dallas, Texas, or Irvine, California
Key Qualifications:
- At least 4 years of experience as a Data Quality Engineer
- At least 4 years of experience performing data quality analysis and validation
- At least 2 years of experience writing test plans, test cases, and test scripts
- At least 1 year of experience validating solutions with Snowflake and Azure
- At least 1 year of experience validating data pipelines
- Strong adherence to core software testing principles, including code modularization, versioning, git, testing, Agile, etc.
Nice-to-haves:
- Experience performing validation on:
Prefect/workflow tool
Dbt
Hasura & GraphQL
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Requirements
- At least 4 years of experience as a Data Quality Engineer
- At least 4 years of experience performing data quality analysis and validation
- At least 2 years of experience writing test plans, test cases, and test scripts
- At least 1 year of experience validating solutions with Snowflake and Azure
- At least 1 year of experience validating data pipelines
- Strong adherence to core software testing principles, including code modularization, versioning, git, testing, Agile, etc.
Additional Instructions
performing data quality analysis and validation, writing test plans, test cases, and test scripts, and validating solutions built on REST APIs, Snowflake, and data pipelines.
