ETL Fundamentals SQL SQL (Basic Advanced) Talend Modern Data Platform Fundamentals PLSQL T-SQL Stored Procedures
Job requirements
We are looking for a Data Quality Engineer who combines a strong understanding of data validation and application testing with hands-on SQL expertise.
This role ensures data accuracy consistency and integrity across systems while also contributing to end-to-end testing of applications that consume or produce data.
Key Responsibilities:
Data Quality & Validation: Develop and execute data quality test cases to validate accuracy completeness and reliability of datasets.
Write and optimize complex SQL queries for data profiling validation and root cause analysis.
Identify document and track data quality issues; work with engineering and business teams to resolve them.
Validate data pipelines and ETL processes to ensure consistent flow and transformation.
Application Testing: Perform functional integration and regression testing on applications related to data ingestion processing and reporting.
Collaborate with QA Data Engineers and Developers to ensure data is accurately reflected across systems.
Design and execute test plans for APIs and user interfaces that interact with underlying data.
Maintain test documentation logs and bug reports in tools like JIRA or TestRail.
Collaboration & Reporting: Work closely with business analysts and product owners to understand data requirements and test expectations.
Participate in Agile ceremonies like stand-ups sprint planning and retrospectives.
Create clear test reports and communicate findings to technical and non-technical stakeholders.
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