4. Data Warehousing Knowledge: Solid understanding of dimensional modeling (Star/Snowflake schema), OLAP concepts, normalization/denormalization and data lineage.
5. ETL Tool Familiarity: Hands-on experience working with or Testing pipelines built with tools such as Informatica/ Talend/ SSIS, Azure Data Factory (ADF), AWS Glue or dbt.
6. RDBMS & Data Platforms: Strong experience with relational databases (e.g., PostgreSQL, Oracle, SQL Server) and modern Cloud Data Warehouses (e.g., BigQuery, Snowflake, Databricks.)
7. Defect & Test Management: Proficiency with tools such as Jira, Confluence, HP ALM/Quality Center or Zephyr.
8. Experience in the healthcare domain, project execution, and/or knowledge of HL7 or FHIR standards and regulations would be an added advantage.