Data QA Engineer (GCP / BigQuery)
Teknik, data och digitalt · Data, AI och analys · Data engineering · QA och testning
I korthet
We are seeking a Data QA Engineer to validate data engineering solutions built on Google Cloud Platform (GCP). The role focuses on testing ETL/ELT pipelines and data transformations using SQL and Python, ensuring data correctness and adherence to business rules. Experience with BigQuery, GCS, and automated testing frameworks is required.
Ansvarsområden
- Validate ETL/ELT pipelines, transformation logic, and data processing workflows.
- Develop SQL-based test cases and reconciliation queries using BigQuery.
- Compare outputs from new pipelines and transformations against trusted reference datasets.
- Perform source-to-target validation, regression testing, and functional testing of data engineering artifacts.
- Design, develop, and maintain automated test scripts and reusable validation frameworks using Python.
- Execute test plans, record test results, and report defects.
- Collaborate with Data Engineers to clarify requirements, validate fixes, and ensure successful delivery.
- Contribute to the continuous improvement of QA processes, automation frameworks, and testing standards.
Krav
- Strong SQL expertise with hands-on experience in BigQuery.
- Strong Python programming skills for test automation.
- Experience with Google Cloud Platform (GCP), including BigQuery and GCS.
- Strong understanding of ETL/ELT processes, data transformations, and data warehousing concepts.
- Familiarity with Backend Kafka and API.
- Experience in data validation, reconciliation testing, and regression testing.
- Familiarity with Git, CI/CD pipelines, and automated testing frameworks.
- 6 – 10 years of experience in Data QA, ETL Testing, or Data Test Automation.
- Experience testing cloud-based data engineering solutions, preferably on GCP.
Önskade kvalifikationer
- Exposure to Cloud Composer, Dataflow, or Dataproc is desirable.
#Data QA#ETL Testing#Data Test Automation#GCP#BigQuery#SQL#Python#Cloud