Job Description
· Strong understanding of data modelling concepts, techniques, and methodologies.
· Proficiency in data modelling tools such as SqlDBM, ERwin, and ER/Studio with experience in relational databases and SQL.
· Knowledge of dimensional modelling and familiarity with data warehousing concepts, data integration, and ETL/ELT processes.
· Strong working knowledge in SQL, preferably in Snowflake.
· Strong working experience and understanding in business process mapping to data flows and proposing optimization.
· Good documentation skills.
· Working experience with Cloud data platforms, preferably Snowflake.
· Hands-on experience in Python.
· The successful candidate will be expected to support data modelling and architecture for an in-house financial data platform.
