Data Quality Engineer

QE Role - Emphasis on the Engineer

Responsible for validation through lots of varying processes

Migrating to GCP using the following stack:

BitQuery

Data flow / Dataform

Cloudcomposer

Will work with Data Engineers / PMs

Need Python for automation

experience leveraging GCP tools

Do you have experience in Test validation method?, Need almost data engineering skills - strong sql tooling

• 4+ years of experience in data testing, or quality engineering on enterprise data platforms.
• Strong SQL skills - able to write and reason about complex queries for validation, reconciliation, and root-cause analysis on large data sets.
• Hands-on experience with Google Cloud Platform data services - BigQuery (essential), Dataflow, Cloud Composer, Dataform, and Cloud Storage.
• Solid understanding of ETL / ELT processes, data modeling, schema design, and dimensional modeling concepts.
• Working knowledge of automated data testing frameworks such as Great Expectations, , or Dataform assertions, and experience integrating tests into CI/CD using Git-based workflows.
• Demonstrated experience with source-to-target reconciliation and data validation techniques across heterogeneous systems.
• Experience documenting test cases, validation rules, and defects in Jira, Confluence, and SharePoint.
• Strong analytical, problem-solving, and written and verbal communication skills - able to clearly convey issue severity, impact, and root cause to engineers, leads, and stakeholders.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline, or equivalent professional experience., * Experience supporting an on-prem EDW migration to GCP, or comparable cloud data platform program.
• Working proficiency in Python for test automation and validation scripting.
• Familiarity with data observability concepts and tools.
• Experience working in Agile delivery models on multi-wave platform programs.

3.63.6 out of 5 stars Remote $60 - $65 an hour - Contract