Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Big Data Code Review Data Validation Information Engineering Database Testing Python (Programming Language) SQL Databases Snowflake Git Flow Software Version Control Data Pipelines

Requirements

• We are seeking a Senior Data QA / Tester with strong hands-on experience in validating modern data pipelines and transformation frameworks built on Snowflake and dbt.
• This role is responsible for ensuring the accuracy, completeness, reliability, and quality of data pipelines and transformations developed by data engineering teams.
• The ideal candidate brings deep experience in data validation, SQL-based testing, dbt testing frameworks, and automation.
• Experience with Fivetran-based ingestion validation is a plus, but the primary focus is testing Snowflake and dbt-based transformations., * 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.

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