Senior Data QA Engineer: Snowflake & dbt Mastery

Valiant Technologies LLC

Sunnyvale (CA)

On-site

USD 140,000 - 180,000

Full time

24 hours ago
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Job summary

Valiant Technologies LLC in Sunnyvale, CA is seeking a Senior Data QA / Tester to validate modern data pipelines and transformation frameworks built on Snowflake and dbt. The role focuses on ensuring data accuracy, completeness, reliability, and quality across all transformations, collaborating with data engineering teams.

The ideal candidate brings deep SQL-based testing expertise, hands-on dbt testing, and experience building automated data testing frameworks in Python.

Qualifications

  • 10+ years of experience in Data Testing / Data QA / Data Engineering Validation roles.
  • Strong SQL expertise with experience writing complex validation queries.
  • Hands-on experience testing dbt-based transformations, including schema tests, custom tests, models, snapshots, and transformation validation.
  • Understanding of dbt project structure and workflows.
  • Strong Snowflake experience, including data validation, reconciliation, micro-partitions, incremental loads, query behavior, and large-scale datasets.
  • Experience building automated data testing frameworks using Python and SQL.
  • Hands-on experience with Git workflows, version control, pull requests, and code reviews.

Responsibilities

  • Validate data pipelines and transformations built on Snowflake and dbt.
  • Ensure accuracy, completeness, reliability, and quality of data transformations.
  • Collaborate with data engineering teams to validate ingestion, transforms, and data quality.

Skills

Data QA
SQL
dbt testing
Python
Git
Snowflake
Data validation

Tools

dbt
Snowflake
Fivetran

Job description

Valiant Technologies LLC in Sunnyvale, CA is seeking a Senior Data QA / Tester to validate modern data pipelines and transformation frameworks built on Snowflake and dbt. The role focuses on ensuring data accuracy, completeness, reliability, and quality across all transformations, collaborating with data engineering teams.

The ideal candidate brings deep SQL-based testing expertise, hands-on dbt testing, and experience building automated data testing frameworks in Python.

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