1. Have 10+ years of data modelling experience.
2. Knowledge on Business process flow and architectural diagram creation.
3. Knowledge of the process to ingest any particular dataset from source to Silver and then till population in various Reporting layer/format as per the project needs.
4. Knowledge of DBKS Workspace, cluster details for the current PBNA Datalake and their access request process.
5. Knowledge and experience on medallion architecture, table normalisation techniques and dimensional modelling
6. Hands on experience on at least 1 data modelling tool.
7. Hands on experience in Data engineering using pyspark , ASQL and Databricks.
8. Solid SQL and data analysis skills.
9. Data quality and profiling.
10. Ability to document all standards deliverables of a data modeller such as STTM, data models, Analysis documents, UAT test cases and results.
11. Knowledge and understanding on AI and its uses for productivity improvement.

📌 Architect (Data Modeler) (Bengaluru)
🏢 TRIGENT SOFTWARE PRIVATE
📍 Bengaluru