Compunnel Inc.Remote
EDP Quality Engineer -- 26-005
United States of America
Contract
1 week ago
H1B Sponsor Likely
Key skills
SQLGoogle BigQueryGoogle DataflowGoogle Cloud ComposerGoogle DataformGoogle Cloud StorageETL processesELT processesData modelingDimensional modelingAutomated data testing frameworksGreat ExpectationsDataform assertionsCI/CDGitSource-to-target reconciliationData validationJiraConfluenceSharePointPythonAgile deliveryETLELTBigQueryGCPGoogle CloudCloud StoragecomposerAgileCommunication
About this role
Compunnel Inc. is seeking an EDP Quality Engineer to support their data testing and quality engineering efforts on enterprise data platforms. The role involves writing complex SQL queries, validating large data sets, and ensuring quality through automated testing frameworks.
Responsibilities:
- 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
Requirements:
- 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