We’re urgently hiring two QA Data Engineers
Responsibilities:
- Design and execute test strategies and test cases for ETL/ELT pipelines.
- Validate structured and unstructured data, identifying and resolving inconsistencies.
- Automate tests and monitor failures in data ingestion and transformation processes.
- Collaborate with data engineers, analysts, and stakeholders to define quality requirements.
- Document defects, validation rules, and scalable data governance practices.
- Conduct regression testing, post-implementation validation, and support root cause analysis.
Requirements:
Must-Have:
- Proven experience in data QA or data engineering.
- Strong SQL skills and knowledge of data testing strategies.
- Hands-on experience with ETL/ELT processes and data modeling.
- Familiarity with GCP (BigQuery, Dataflow, Dataproc, Cloud Storage) and Python.
Nice-to-Have:
- Experience with automated data testing tools (e.g., Great Expectations, dbt).
- Understanding of the client's data and business processes.
Bonus:
- Certifications in GCP or software testing.
- Experience with Agile/Waterfall methodologies and tools like Jira, Confluence, and SharePoint.
- Programming skills in Java or Python for test automation.