Responsibilities
- Perform basic functional software testing (black-box testing, end-to-end user scenario validation) to ensure application features operate correctly alongside data integration.
- Map acceptance criteria and design data quality rules (null constraints, uniqueness, column validity) across multi-table datasets.
- Write complex SQL queries and Python scripts to execute automated data validation, reconciliation, and integrity checks.
- Analyze end-to-end data pipelines and verify data consistency between RDBMS databases (MySQL/PostgreSQL) and BI dashboards (QuickBI).
- Partner with Data Engineers, Data Analysts, and Product Owners to identify data anomalies, perform root-cause analysis, and enforce data quality standards.
Requirements
- Basic-to-intermediate knowledge of functional testing (creating test scenarios, manual/automation testing and reporting defects/bugs for end-to-end user flows).
- Strong proficiency in complex SQL (MySQL, PostgreSQL) for data validation, multi-table reconciliation (e.g., mapping and checking 5+ tables simultaneously), null/uniqueness handling, and window functions
- Proficient in Python for data manipulation and test automation.
- Strong understanding of data quality criteria, establishing Data Quality Rules, and data pipeline (ETL/ELT) workflows.
- Familiarity with Business Intelligence tools such as QuickBI (or similar) to validate data accuracy on dashboards
- Experience in development software process, preferably in Health sectors is a plus.
- Able to work from office (WFO Bandung).
About PT Infokes Indonesia
PT Infokes Indonesia merupakan perusahaan yang bergerak dibidang layanan sistem informasi kesehatan yang berdiri sejak 2007.
Infokes Indonesia memiliki visi untuk mencipatakan layanan sistem informasi kesehatan yang terintegrasi dan Online di seluruh Indonesia.
Untuk informasi lebih lanjut : http://www.infokes.co.id/new/
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